Preferenze complessive sul testo da confronti diretti. Non misura accuratezza fattuale o riuscita dei compiti.
14401480
Gemini 2.5 Pro
Gemini 2.5 Pro · Intervallo 95% 1455,3–1460,1 · 125,307 voti · 2026-10-28
Risultati registrati
Ogni riga usa lo stesso benchmark, versione, carico, scenario e unità. I risultati mancanti non valgono zero. I risultati di sistema includono tutta la configurazione hardware e software.
Arena text preference / chinesehuman preference · 2026-10-28 · rating
Gemini 2.5 Pro
1.507,10 rating
Intervallo di confidenza: 1.500,44 – 1.513,76
9313 voti
Categoria
chinese
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / codinghuman preference · 2026-10-28 · rating
Gemini 2.5 Pro
1.451,46 rating
Intervallo di confidenza: 1.447,26 – 1.455,65
26935 voti
Categoria
coding
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / creative_writinghuman preference · 2026-10-28 · rating
Gemini 2.5 Pro
1.453,75 rating
Intervallo di confidenza: 1.448,69 – 1.458,82
17680 voti
Categoria
creative_writing
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / englishhuman preference · 2026-10-28 · rating
Gemini 2.5 Pro
1.458,07 rating
Intervallo di confidenza: 1.454,77 – 1.461,38
54037 voti
Categoria
english
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-28 · rating
Gemini 2.5 Pro
1.460,40 rating
Intervallo di confidenza: 1.457,03 – 1.463,77
91417 voti
Categoria
exclude_ties
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / experthuman preference · 2026-10-28 · rating
Gemini 2.5 Pro
1.451,91 rating
Intervallo di confidenza: 1.445,17 – 1.458,66
8323 voti
Categoria
expert
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / frenchhuman preference · 2026-10-28 · rating
Gemini 2.5 Pro
1.473,12 rating
Intervallo di confidenza: 1.459,86 – 1.486,37
2389 voti
Categoria
french
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / germanhuman preference · 2026-10-28 · rating
Gemini 2.5 Pro
1.487,06 rating
Intervallo di confidenza: 1.474,55 – 1.499,58
2652 voti
Categoria
german
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / hard_promptshuman preference · 2026-10-28 · rating
Gemini 2.5 Pro
1.454,73 rating
Intervallo di confidenza: 1.451,62 – 1.457,83
65896 voti
Categoria
hard_prompts
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-28 · rating
Gemini 2.5 Pro
1.452,54 rating
Intervallo di confidenza: 1.448,46 – 1.456,63
28959 voti
Categoria
hard_prompts_english
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-28 · rating
Arena text preference / industry_entertainment_and_sports_and_mediahuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.441,09 rating
Intervallo di confidenza: 1.436,57 – 1.445,61
23329 voti
Categoria
industry_entertainment_and_sports_and_media
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.479,68 rating
Intervallo di confidenza: 1.472,98 – 1.486,38
8937 voti
Categoria
industry_legal_and_government
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
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
Intervallo di confidenza: 1.475,42 – 1.484,69
20874 voti
Categoria
industry_life_and_physical_and_social_science
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.454,44 rating
Intervallo di confidenza: 1.447,10 – 1.461,78
6918 voti
Categoria
industry_mathematical
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.475,79 rating
Intervallo di confidenza: 1.468,66 – 1.482,92
7994 voti
Categoria
industry_medicine_and_healthcare
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.459,11 rating
Intervallo di confidenza: 1.455,56 – 1.462,66
44050 voti
Categoria
industry_software_and_it_services
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.453,80 rating
Intervallo di confidenza: 1.449,58 – 1.458,02
28272 voti
Categoria
industry_writing_and_literature_and_language
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.436,49 rating
Intervallo di confidenza: 1.432,67 – 1.440,31
35220 voti
Categoria
instruction_following
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / japanesehuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.460,58 rating
Intervallo di confidenza: 1.445,94 – 1.475,21
2061 voti
Categoria
japanese
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / koreanhuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.434,72 rating
Intervallo di confidenza: 1.421,75 – 1.447,69
2499 voti
Categoria
korean
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / longer_queryhuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.449,14 rating
Intervallo di confidenza: 1.445,23 – 1.453,06
34031 voti
Categoria
longer_query
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / mathhuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.449,77 rating
Intervallo di confidenza: 1.442,90 – 1.456,64
7817 voti
Categoria
math
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / multi_turnhuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.452,63 rating
Intervallo di confidenza: 1.447,96 – 1.457,30
21195 voti
Categoria
multi_turn
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / non_englishhuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.451,50 rating
Intervallo di confidenza: 1.448,45 – 1.454,55
71251 voti
Categoria
non_english
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / overallhuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.457,73 rating
Intervallo di confidenza: 1.455,29 – 1.460,16
125366 voti
Categoria
overall
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / polishhuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.478,84 rating
Intervallo di confidenza: 1.470,44 – 1.487,25
6495 voti
Categoria
polish
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / russianhuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.460,42 rating
Intervallo di confidenza: 1.454,79 – 1.466,04
12211 voti
Categoria
russian
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / spanishhuman preference · 2026-10-15 · rating
Gemini 2.5 Pro
1.473,47 rating
Intervallo di confidenza: 1.462,46 – 1.484,49
3451 voti
Categoria
spanish
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Esecuzione locale
Inferenza · stima della memoria
Gemini 2.5 Pro
Pesi chiusi. Non sono pubblicati un impiego locale supportato o requisiti GPU.
Costo API
USD / mese
Stima per token di testo standard. Esclude imposte, cache, sconti batch e costi aggiuntivi per ragionamento e modalità multimediali. Limiti e disponibilità possono variare per provider.
GoogleGemini 2.5 ProStandardFascia token: 200,000 – Limite superiore non indicato
Input in cache
USD
0.25 / 1M tokens
Input
USD
2.5 / 1M tokens
Output
USD
15 / 1M tokens
Google Vertex AIGemini 2.5 ProBatchFascia token: 0 – 200,000
Input
USD
0.625 / 1M tokens
Output
USD
5 / 1M tokens
Google Vertex AIGemini 2.5 ProBatchFascia token: 200,000 – Limite superiore non indicato
Input
USD
1.25 / 1M tokens
Output
USD
7.5 / 1M tokens
Google Vertex AIGemini 2.5 ProStandardFascia token: 0 – 200,000
Input in cache
USD
0.125 / 1M tokens
Input
USD
1.25 / 1M tokens
Output
USD
10 / 1M tokens
Google Vertex AIGemini 2.5 ProStandardFascia token: 200,000 – Limite superiore non indicato
Input in cache
USD
0.25 / 1M tokens
Input
USD
2.5 / 1M tokens
Output
USD
15 / 1M tokens
Capacità
Finestra di contesto
1.048.576 tokens
Input massimo
1.048.576 tokens*
Output massimo
65.536 tokens
Ragionamento
Sì
Uso di strumenti
Sì
Output strutturato
Sì*
Pesi aperti
No
Dati di addestramento fino a
2025-01
Modalità API
Chat*
Tipo di modello
LLM (frontier reasoning / thinking)*
Modalità dichiarate
Text, Image, Audio, Video, PDF → Text*
Input immagini
Sì*
Input PDF
Sì*
Input video
Sì*
Input audio
Sì*
Cache dei prompt
Sì*
Messaggi di sistema
Sì*
Scelta degli strumenti
Sì*
Ricerca sul web
Sì*
Licenza del modello
Proprietary
Modalità di input
text
image
audio
video
pdf
Modalità di output
text
Configurazione di sistema
Specifiche dettagliate
Specifiche 1 · 12 campi
api providers
Google AI Studio (Gemini API), Vertex AI, OpenRouter*Ambito e condizioni
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
Non riportato*
price_tiers
Non riportato*
context window
1M (1,048,576 tokens)*Ambito e condizioni
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
Non riportato*
price_tiers
Non riportato*
developer
Google*Ambito e condizioni
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
Non riportato*
price_tiers
Non riportato*
input price
1,25*Ambito e condizioni
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
Non riportato*
price_tiers
Non riportato*
license
Proprietary*Ambito e condizioni
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
Non riportato*
price_tiers
Non riportato*
max output
64K (65,536 tokens)*Ambito e condizioni
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
Non riportato*
price_tiers
Non riportato*
modality
Text, Image, Audio, Video, PDF → Text*Ambito e condizioni
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
Non riportato*
price_tiers
Non riportato*
model type
LLM (frontier reasoning / thinking)*Ambito e condizioni
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
Non riportato*
price_tiers
Non riportato*
name
Gemini 2.5 Pro*Ambito e condizioni
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
Non riportato*
price_tiers
Non riportato*
open weights
no*Ambito e condizioni
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
Non riportato*
price_tiers
Non riportato*
output price
10*Ambito e condizioni
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
Non riportato*
price_tiers
Non riportato*
release date
March 2025 (preview); June 17, 2025 (GA)*Ambito e condizioni
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
Non riportato*
price_tiers
Non riportato*
Specifiche 2 · 42 campi
cache creation input token cost above 200k tokens
2,5e-7*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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.*
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*
Ambito e condizioni
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*
Ambito e condizioni
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*
Ambito e condizioni
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*
Ambito e condizioni
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*
Ambito e condizioni
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
Sì*Ambito e condizioni
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
Sì*Ambito e condizioni
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
Sì*Ambito e condizioni
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
Sì*Ambito e condizioni
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
Sì*Ambito e condizioni
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
Sì*Ambito e condizioni
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
Sì*Ambito e condizioni
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
Sì*Ambito e condizioni
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
Sì*Ambito e condizioni
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
Sì*Ambito e condizioni
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
Sì*Ambito e condizioni
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.*