GeekRadar / The comparison desk

Gemini 2.5 Flash vs Gemini 2.5 Pro

Catalog

Capability & preference

Human preference · Arena

Overall text preferences from head-to-head votes. Not factual accuracy or a task-success rate.

Gemini 2.5 Flash 1416.9 Gemini 2.5 Flash · 95% interval 1414.5–1419.3 · 125,457 votes · 2026-10-28
Gemini 2.5 Pro 1457.7 Gemini 2.5 Pro · 95% interval 1455.3–1460.1 · 125,307 votes · 2026-10-28

Run it locally

Inference · memory estimate

Gemini 2.5 Flash

Closed weights. No supported local deployment or GPU requirement is published.

Gemini 2.5 Pro

Closed weights. No supported local deployment or GPU requirement is published.

Gemini 2.5 Flash vs Gemini 2.5 Pro
At a glance
Models

Gemini 2.5 Flash

google
Models

Gemini 2.5 Pro

google
Release date2025-06-172025-06-17
Capabilities
Context window
1,048,576 tokens
1,048,576 tokens
Maximum input
1,048,576 tokens*
1,048,576 tokens*
Maximum output
65,536 tokens
65,536 tokens
Reasoning
Yes
Yes
Tool calling
Yes
Yes
Structured output
Yes*
Yes*
Open weights
No
No
Knowledge cutoff
2025-01
2025-01
API mode
Chat*
Chat*
Model typeNot reported
LLM (frontier reasoning / thinking)*
Declared modalitiesNot reported
Text, Image, Audio, Video, PDF → Text*
Image input
Yes*
Yes*
PDF input
Yes*
Yes*
Video inputNot reported
Yes*
Audio inputNot reported
Yes*
Audio output
No*
Not reported
Parallel tool calls
Yes*
Not reported
Prompt caching
Yes*
Yes*
System messages
Yes*
Yes*
Tool choice
Yes*
Yes*
Web search
Yes*
Yes*
Model license
Proprietary
Proprietary
Detailed specifications
Specifications · 41 fields
cache read input audio token cost
1.0e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache read input token cost
3.0e-8*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache read input token cost flex
3.0e-8*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache read input token cost priority
5.4e-8*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
deprecation date
2026-10-20*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
google maps grounding cost per query
0.025*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per audio token
1.0e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per audio token batches
5.0e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per audio token priority
1.8e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token
3.0e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token batches
1.5e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token flex
1.5e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token priority
5.4e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
vertex_ai-language-models*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max input tokens
1,048,576*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max output tokens
65,535*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max tokens
65,535*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
chat*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per reasoning token
2.5e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token
2.5e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token batches
1.25e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token flex
1.25e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token priority
4.5e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
search context cost per query
search_context_size_low
0.035*
search_context_size_medium
0.035*
search_context_size_high
0.035*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
search free requests
count
1,500*
period
day*
shared_group
gemini-2-flash*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supported endpoints
  • /v1/chat/completions*
  • /v1/completions*
  • /v1/batch*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supported modalities
  • text*
  • image*
  • audio*
  • video*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supported output modalities
  • text*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports audio output
No*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports function calling
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports image size
No*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports parallel function calling
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports pdf input
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports prompt caching
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports reasoning
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports response schema
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports system messages
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports tool choice
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports url context
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports vision
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports web search
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-flash*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
Specifications 1 · 12 fields
api providers
Google AI Studio (Gemini API), Vertex AI, OpenRouter*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Google*
price_unit
Not reported*
price_tiers
Not reported*
context window
1M (1,048,576 tokens)*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Google*
price_unit
Not reported*
price_tiers
Not reported*
developer
Google*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Google*
price_unit
Not reported*
price_tiers
Not reported*
input price
1.25*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Google*
price_unit
Not reported*
price_tiers
Not reported*
license
Proprietary*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Google*
price_unit
Not reported*
price_tiers
Not reported*
max output
64K (65,536 tokens)*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Google*
price_unit
Not reported*
price_tiers
Not reported*
modality
Text, Image, Audio, Video, PDF → Text*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Google*
price_unit
Not reported*
price_tiers
Not reported*
model type
LLM (frontier reasoning / thinking)*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Google*
price_unit
Not reported*
price_tiers
Not reported*
name
Gemini 2.5 Pro*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Google*
price_unit
Not reported*
price_tiers
Not reported*
open weights
no*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Google*
price_unit
Not reported*
price_tiers
Not reported*
output price
10*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Google*
price_unit
Not reported*
price_tiers
Not reported*
release date
March 2025 (preview); June 17, 2025 (GA)*
Scope and conditions
native_context
metadata
name
Convly AI Models Database*
description
Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
generated
2026-09-22T15:41:48+00:00*
model_count
43*
fields
  • slug*
  • name*
  • developer*
  • model_type*
  • modality*
  • parameters*
  • context_window*
  • max_output*
  • open_weights*
  • license*
  • release_date*
  • input_price*
  • output_price*
  • price_unit*
  • price_tiers*
  • vram_q4*
  • vram_q4_gb*
  • min_gpu*
  • intelligence*
  • api_providers*
  • official_url*
  • retired*
  • convly_url*
developer
Google*
price_unit
Not reported*
price_tiers
Not reported*
Specifications 2 · 42 fields
cache creation input token cost above 200k tokens
2.5e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache read input token cost
1.25e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache read input token cost above 200k tokens
2.5e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache read input token cost above 200k tokens priority
4.5e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache read input token cost flex
1.25e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache read input token cost priority
2.25e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
deprecation date
2026-10-20*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
google maps grounding cost per query
0.025*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token
1.25e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token above 200k tokens
2.5e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token above 200k tokens priority
4.5e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token batches
6.25e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token flex
6.25e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token priority
2.25e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
vertex_ai-language-models*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max input tokens
1,048,576*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max output tokens
65,535*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max tokens
65,535*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
chat*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token
1.0e-5*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token above 200k tokens
1.5e-5*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token above 200k tokens priority
2.7e-5*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token batches
5.0e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token flex
5.0e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token priority
1.8e-5*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
prompt cache min tokens
2,048*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
search context cost per query
search_context_size_low
0.035*
search_context_size_medium
0.035*
search_context_size_high
0.035*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
search free requests
count
10,000*
period
day*
shared_group
gemini-2.5-pro*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supported endpoints
  • /v1/chat/completions*
  • /v1/completions*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supported modalities
  • text*
  • image*
  • audio*
  • video*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supported output modalities
  • text*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports audio input
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports function calling
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports pdf input
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports prompt caching
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports reasoning
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports response schema
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports system messages
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports tool choice
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports video input
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports vision
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports web search
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-2.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
Input modalities
  • text
  • image
  • audio
  • video
  • pdf
  • text
  • image
  • audio
  • video
  • pdf
Output modalities
  • text
  • text

API cost

USD / month

Standard text-token estimate. Excludes taxes, caching, batch discounts, reasoning and multimodal surcharges. Provider limits and regional availability may differ.

Gemini 2.5 Flash

Gemini 2.5 Pro

Gemini 2.5 Flash / Pricing tiers 2
Provider / scopeRateCurrencyAmount / unit
GoogleGemini 2.5 FlashStandard audio Cached inputUSD0.1 / 1M tokens
InputUSD1 / 1M tokens
OutputUSD2.5 / 1M tokens
GoogleGemini 2.5 FlashStandard text/image/video Cached inputUSD0.03 / 1M tokens
InputUSD0.3 / 1M tokens
OutputUSD2.5 / 1M tokens
Gemini 2.5 Pro / Pricing tiers 6
Provider / scopeRateCurrencyAmount / unit
GoogleGemini 2.5 ProStandard Token tier: 0 – 200,000 Cached inputUSD0.125 / 1M tokens
InputUSD1.25 / 1M tokens
OutputUSD10 / 1M tokens
GoogleGemini 2.5 ProStandard Token tier: 200,000 – No stated upper limit Cached inputUSD0.25 / 1M tokens
InputUSD2.5 / 1M tokens
OutputUSD15 / 1M tokens
Google Vertex AIGemini 2.5 ProBatch Token tier: 0 – 200,000 InputUSD0.625 / 1M tokens
OutputUSD5 / 1M tokens
Google Vertex AIGemini 2.5 ProBatch Token tier: 200,000 – No stated upper limit InputUSD1.25 / 1M tokens
OutputUSD7.5 / 1M tokens
Google Vertex AIGemini 2.5 ProStandard Token tier: 0 – 200,000 Cached inputUSD0.125 / 1M tokens
InputUSD1.25 / 1M tokens
OutputUSD10 / 1M tokens
Google Vertex AIGemini 2.5 ProStandard Token tier: 200,000 – No stated upper limit Cached inputUSD0.25 / 1M tokens
InputUSD2.5 / 1M tokens
OutputUSD15 / 1M tokens

Recorded results

Only the same benchmark, version, workload, scenario and unit share a row. Missing results are not zero. System results include the full submitted hardware and software configuration.

Arena text preference / chinesehuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,449.46 rating

Confidence interval: 1,442.90 – 1,456.03

9165 votes

Category
chinese
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,507.10 rating

Confidence interval: 1,500.44 – 1,513.76

9313 votes

Category
chinese
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,423.43 rating

Confidence interval: 1,419.23 – 1,427.62

26352 votes

Category
coding
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,451.46 rating

Confidence interval: 1,447.26 – 1,455.65

26935 votes

Category
coding
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,399.87 rating

Confidence interval: 1,394.93 – 1,404.81

17646 votes

Category
creative_writing
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,453.75 rating

Confidence interval: 1,448.69 – 1,458.82

17680 votes

Category
creative_writing
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,417.78 rating

Confidence interval: 1,414.53 – 1,421.03

54665 votes

Category
english
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,458.07 rating

Confidence interval: 1,454.77 – 1,461.38

54037 votes

Category
english
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,404.04 rating

Confidence interval: 1,400.72 – 1,407.36

90056 votes

Category
exclude_ties
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,460.40 rating

Confidence interval: 1,457.03 – 1,463.77

91417 votes

Category
exclude_ties
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,426.01 rating

Confidence interval: 1,419.37 – 1,432.65

8404 votes

Category
expert
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,451.91 rating

Confidence interval: 1,445.17 – 1,458.66

8323 votes

Category
expert
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / frenchhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,432.09 rating

Confidence interval: 1,419.51 – 1,444.68

2609 votes

Category
french
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,473.12 rating

Confidence interval: 1,459.86 – 1,486.37

2389 votes

Category
french
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / germanhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,417.58 rating

Confidence interval: 1,405.65 – 1,429.52

2686 votes

Category
german
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,487.06 rating

Confidence interval: 1,474.55 – 1,499.58

2652 votes

Category
german
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,422.03 rating

Confidence interval: 1,418.94 – 1,425.11

65107 votes

Category
hard_prompts
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,454.73 rating

Confidence interval: 1,451.62 – 1,457.83

65896 votes

Category
hard_prompts
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,420.38 rating

Confidence interval: 1,416.32 – 1,424.44

28888 votes

Category
hard_prompts_english
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,452.54 rating

Confidence interval: 1,448.46 – 1,456.63

28959 votes

Category
hard_prompts_english
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,403.48 rating

Confidence interval: 1,399.01 – 1,407.95

22738 votes

Category
industry_business_and_management_and_financial_operations
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,439.47 rating

Confidence interval: 1,434.94 – 1,443.99

22809 votes

Category
industry_business_and_management_and_financial_operations
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / industry_entertainment_and_sports_and_mediahuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,393.42 rating

Confidence interval: 1,389.02 – 1,397.82

23176 votes

Category
industry_entertainment_and_sports_and_media
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,441.23 rating

Confidence interval: 1,436.70 – 1,445.75

23305 votes

Category
industry_entertainment_and_sports_and_media
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,430.52 rating

Confidence interval: 1,423.97 – 1,437.07

8906 votes

Category
industry_legal_and_government
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,480.26 rating

Confidence interval: 1,473.56 – 1,486.96

8933 votes

Category
industry_legal_and_government
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / industry_life_and_physical_and_social_sciencehuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,432.66 rating

Confidence interval: 1,428.04 – 1,437.28

20587 votes

Category
industry_life_and_physical_and_social_science
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,480.06 rating

Confidence interval: 1,475.43 – 1,484.70

20864 votes

Category
industry_life_and_physical_and_social_science
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,422.40 rating

Confidence interval: 1,415.25 – 1,429.54

7071 votes

Category
industry_mathematical
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,454.37 rating

Confidence interval: 1,447.03 – 1,461.71

6914 votes

Category
industry_mathematical
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,427.53 rating

Confidence interval: 1,420.51 – 1,434.55

7887 votes

Category
industry_medicine_and_healthcare
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,475.96 rating

Confidence interval: 1,468.83 – 1,483.09

7987 votes

Category
industry_medicine_and_healthcare
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,425.06 rating

Confidence interval: 1,421.54 – 1,428.58

43830 votes

Category
industry_software_and_it_services
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,458.99 rating

Confidence interval: 1,455.44 – 1,462.54

44018 votes

Category
industry_software_and_it_services
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,405.33 rating

Confidence interval: 1,401.23 – 1,409.42

28432 votes

Category
industry_writing_and_literature_and_language
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,453.86 rating

Confidence interval: 1,449.64 – 1,458.08

28255 votes

Category
industry_writing_and_literature_and_language
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,404.88 rating

Confidence interval: 1,401.12 – 1,408.64

34820 votes

Category
instruction_following
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,436.58 rating

Confidence interval: 1,432.76 – 1,440.40

35203 votes

Category
instruction_following
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / japanesehuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,396.12 rating

Confidence interval: 1,382.14 – 1,410.11

2043 votes

Category
japanese
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,461.15 rating

Confidence interval: 1,446.52 – 1,475.78

2065 votes

Category
japanese
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / koreanhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,384.66 rating

Confidence interval: 1,371.46 – 1,397.85

2368 votes

Category
korean
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,434.38 rating

Confidence interval: 1,421.42 – 1,447.33

2501 votes

Category
korean
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / longer_queryhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,418.81 rating

Confidence interval: 1,414.91 – 1,422.71

33302 votes

Category
longer_query
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,449.08 rating

Confidence interval: 1,445.16 – 1,452.99

34004 votes

Category
longer_query
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / mathhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,410.67 rating

Confidence interval: 1,404.02 – 1,417.31

8000 votes

Category
math
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,449.68 rating

Confidence interval: 1,442.81 – 1,456.55

7814 votes

Category
math
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / multi_turnhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,407.93 rating

Confidence interval: 1,403.37 – 1,412.49

21701 votes

Category
multi_turn
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,452.55 rating

Confidence interval: 1,447.87 – 1,457.22

21182 votes

Category
multi_turn
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / non_englishhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,409.19 rating

Confidence interval: 1,406.20 – 1,412.18

70734 votes

Category
non_english
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,451.44 rating

Confidence interval: 1,448.39 – 1,454.49

71214 votes

Category
non_english
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / overallhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,416.91 rating

Confidence interval: 1,414.51 – 1,419.31

125457 votes

Category
overall
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,457.70 rating

Confidence interval: 1,455.27 – 1,460.14

125307 votes

Category
overall
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / polishhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,413.14 rating

Confidence interval: 1,404.88 – 1,421.41

6189 votes

Category
polish
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,478.94 rating

Confidence interval: 1,470.54 – 1,487.34

6493 votes

Category
polish
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / russianhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,414.92 rating

Confidence interval: 1,409.41 – 1,420.44

12296 votes

Category
russian
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,460.68 rating

Confidence interval: 1,455.05 – 1,466.31

12203 votes

Category
russian
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / spanishhuman preference · 2026-10-28 · rating

Gemini 2.5 Flash

1,421.67 rating

Confidence interval: 1,410.77 – 1,432.58

3460 votes

Category
spanish
Evaluated configuration
Gemini 2.5 Flash
Evaluation type
human preference

Gemini 2.5 Pro

1,473.61 rating

Confidence interval: 1,462.62 – 1,484.59

3455 votes

Category
spanish
Evaluated configuration
Gemini 2.5 Pro
Evaluation type
human preference
Arena text preference / chinesehuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,449.67 rating

Confidence interval: 1,443.10 – 1,456.23

9167 votes

Category
chinese
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,507.42 rating

Confidence interval: 1,500.76 – 1,514.08

9318 votes

Category
chinese
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,423.52 rating

Confidence interval: 1,419.33 – 1,427.72

26379 votes

Category
coding
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,451.58 rating

Confidence interval: 1,447.38 – 1,455.78

26964 votes

Category
coding
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,399.91 rating

Confidence interval: 1,394.97 – 1,404.85

17664 votes

Category
creative_writing
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,453.63 rating

Confidence interval: 1,448.57 – 1,458.70

17694 votes

Category
creative_writing
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,417.73 rating

Confidence interval: 1,414.48 – 1,420.98

54705 votes

Category
english
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,458.10 rating

Confidence interval: 1,454.79 – 1,461.40

54059 votes

Category
english
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,404.06 rating

Confidence interval: 1,400.74 – 1,407.37

90112 votes

Category
exclude_ties
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,460.46 rating

Confidence interval: 1,457.09 – 1,463.83

91459 votes

Category
exclude_ties
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,425.84 rating

Confidence interval: 1,419.19 – 1,432.48

8407 votes

Category
expert
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,452.08 rating

Confidence interval: 1,445.33 – 1,458.82

8327 votes

Category
expert
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / frenchhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,432.00 rating

Confidence interval: 1,419.41 – 1,444.60

2617 votes

Category
french
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,472.38 rating

Confidence interval: 1,459.10 – 1,485.66

2391 votes

Category
french
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / germanhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,417.27 rating

Confidence interval: 1,405.32 – 1,429.22

2686 votes

Category
german
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,487.13 rating

Confidence interval: 1,474.60 – 1,499.66

2652 votes

Category
german
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,422.11 rating

Confidence interval: 1,419.03 – 1,425.20

65147 votes

Category
hard_prompts
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,454.75 rating

Confidence interval: 1,451.65 – 1,457.86

65927 votes

Category
hard_prompts
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,420.24 rating

Confidence interval: 1,416.18 – 1,424.30

28916 votes

Category
hard_prompts_english
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,452.53 rating

Confidence interval: 1,448.44 – 1,456.61

28963 votes

Category
hard_prompts_english
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,403.52 rating

Confidence interval: 1,399.05 – 1,407.99

22747 votes

Category
industry_business_and_management_and_financial_operations
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,439.51 rating

Confidence interval: 1,434.98 – 1,444.04

22814 votes

Category
industry_business_and_management_and_financial_operations
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / industry_entertainment_and_sports_and_mediahuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,393.41 rating

Confidence interval: 1,389.01 – 1,397.81

23191 votes

Category
industry_entertainment_and_sports_and_media
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,441.09 rating

Confidence interval: 1,436.57 – 1,445.61

23329 votes

Category
industry_entertainment_and_sports_and_media
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,430.10 rating

Confidence interval: 1,423.55 – 1,436.65

8909 votes

Category
industry_legal_and_government
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,479.68 rating

Confidence interval: 1,472.98 – 1,486.38

8937 votes

Category
industry_legal_and_government
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / industry_life_and_physical_and_social_sciencehuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,432.81 rating

Confidence interval: 1,428.18 – 1,437.43

20582 votes

Category
industry_life_and_physical_and_social_science
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,480.05 rating

Confidence interval: 1,475.42 – 1,484.69

20874 votes

Category
industry_life_and_physical_and_social_science
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,422.36 rating

Confidence interval: 1,415.21 – 1,429.50

7072 votes

Category
industry_mathematical
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,454.44 rating

Confidence interval: 1,447.10 – 1,461.78

6918 votes

Category
industry_mathematical
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,427.89 rating

Confidence interval: 1,420.87 – 1,434.91

7893 votes

Category
industry_medicine_and_healthcare
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,475.79 rating

Confidence interval: 1,468.66 – 1,482.92

7994 votes

Category
industry_medicine_and_healthcare
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,425.08 rating

Confidence interval: 1,421.56 – 1,428.60

43860 votes

Category
industry_software_and_it_services
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,459.11 rating

Confidence interval: 1,455.56 – 1,462.66

44050 votes

Category
industry_software_and_it_services
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,405.37 rating

Confidence interval: 1,401.27 – 1,409.47

28446 votes

Category
industry_writing_and_literature_and_language
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,453.80 rating

Confidence interval: 1,449.58 – 1,458.02

28272 votes

Category
industry_writing_and_literature_and_language
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,404.96 rating

Confidence interval: 1,401.19 – 1,408.72

34837 votes

Category
instruction_following
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,436.49 rating

Confidence interval: 1,432.67 – 1,440.31

35220 votes

Category
instruction_following
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / japanesehuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,396.41 rating

Confidence interval: 1,382.43 – 1,410.39

2044 votes

Category
japanese
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,460.58 rating

Confidence interval: 1,445.94 – 1,475.21

2061 votes

Category
japanese
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / koreanhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,385.13 rating

Confidence interval: 1,371.94 – 1,398.31

2376 votes

Category
korean
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,434.72 rating

Confidence interval: 1,421.75 – 1,447.69

2499 votes

Category
korean
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / longer_queryhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,418.89 rating

Confidence interval: 1,414.98 – 1,422.79

33331 votes

Category
longer_query
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,449.14 rating

Confidence interval: 1,445.23 – 1,453.06

34031 votes

Category
longer_query
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / mathhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,410.62 rating

Confidence interval: 1,403.97 – 1,417.27

8004 votes

Category
math
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,449.77 rating

Confidence interval: 1,442.90 – 1,456.64

7817 votes

Category
math
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / multi_turnhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,407.90 rating

Confidence interval: 1,403.34 – 1,412.47

21709 votes

Category
multi_turn
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,452.63 rating

Confidence interval: 1,447.96 – 1,457.30

21195 votes

Category
multi_turn
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / non_englishhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,409.28 rating

Confidence interval: 1,406.29 – 1,412.27

70758 votes

Category
non_english
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,451.50 rating

Confidence interval: 1,448.45 – 1,454.55

71251 votes

Category
non_english
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / overallhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,416.89 rating

Confidence interval: 1,414.49 – 1,419.29

125521 votes

Category
overall
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,457.73 rating

Confidence interval: 1,455.29 – 1,460.16

125366 votes

Category
overall
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / polishhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,413.08 rating

Confidence interval: 1,404.81 – 1,421.34

6189 votes

Category
polish
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,478.84 rating

Confidence interval: 1,470.44 – 1,487.25

6495 votes

Category
polish
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / russianhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,414.70 rating

Confidence interval: 1,409.18 – 1,420.22

12290 votes

Category
russian
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,460.42 rating

Confidence interval: 1,454.79 – 1,466.04

12211 votes

Category
russian
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference
Arena text preference / spanishhuman preference · 2026-10-15 · rating

Gemini 2.5 Flash

1,421.26 rating

Confidence interval: 1,410.32 – 1,432.20

3454 votes

Category
spanish
Evaluated configuration
gemini-2.5-flash
Evaluation type
human preference

Gemini 2.5 Pro

1,473.47 rating

Confidence interval: 1,462.46 – 1,484.49

3451 votes

Category
spanish
Evaluated configuration
gemini-2.5-pro
Evaluation type
human preference

* Provisional data