Gemini 2.5 Pro
Closed weights. No supported local deployment or GPU requirement is published.
GeekRadar / The comparison desk
COMPARE.
AI modelsGemini 2.5 Pro
AI model Released
- API mode
- Chat*
- Context window
- 1,048,576 tokens
- Maximum output
- 65,536 tokens
- Open weights
- No
Capability & preference
Human preference · Arena
Overall text preferences from head-to-head votes. Not factual accuracy or a task-success rate.
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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
Run it locally
API cost
Standard text-token estimate. Excludes taxes, caching, batch discounts, reasoning and multimodal surcharges. Provider limits and regional availability may differ.
Gemini 2.5 Pro
Gemini 2.5 Pro / Pricing tiers
| Provider / scope | Rate | Currency | Amount / unit |
|---|---|---|---|
| GoogleGemini 2.5 ProStandard Token tier: 0 – 200,000 | Cached input | USD | 0.125 / 1M tokens |
| Input | USD | 1.25 / 1M tokens | |
| Output | USD | 10 / 1M tokens | |
| GoogleGemini 2.5 ProStandard Token tier: 200,000 – No stated upper limit | Cached input | USD | 0.25 / 1M tokens |
| Input | USD | 2.5 / 1M tokens | |
| Output | USD | 15 / 1M tokens | |
| Google Vertex AIGemini 2.5 ProBatch Token tier: 0 – 200,000 | Input | USD | 0.625 / 1M tokens |
| Output | USD | 5 / 1M tokens | |
| Google Vertex AIGemini 2.5 ProBatch Token tier: 200,000 – No stated upper limit | Input | USD | 1.25 / 1M tokens |
| Output | USD | 7.5 / 1M tokens | |
| Google Vertex AIGemini 2.5 ProStandard Token tier: 0 – 200,000 | Cached input | USD | 0.125 / 1M tokens |
| Input | USD | 1.25 / 1M tokens | |
| Output | USD | 10 / 1M tokens | |
| Google Vertex AIGemini 2.5 ProStandard Token tier: 200,000 – No stated upper limit | Cached input | USD | 0.25 / 1M tokens |
| Input | USD | 2.5 / 1M tokens | |
| Output | USD | 15 / 1M tokens |
Capabilities
- Context window
- 1,048,576 tokens
- Maximum input
- 1,048,576 tokens*
- Maximum output
- 65,536 tokens
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes*
- Open weights
- No
- Knowledge cutoff
- 2025-01
- API mode
- Chat*
- Model type
- LLM (frontier reasoning / thinking)*
- Declared modalities
- Text, Image, Audio, Video, PDF → Text*
- Image input
- Yes*
- PDF input
- Yes*
- Video input
- Yes*
- Audio input
- Yes*
- Prompt caching
- Yes*
- System messages
- Yes*
- Tool choice
- Yes*
- Web search
- Yes*
- Model license
- Proprietary
Input modalities
- text
- image
- audio
- video
Output modalities
- text
System configuration
Detailed specifications
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.*
0 selected Compare 0
* Provisional data