GeekRadar / Il banco di confronto
CONFRONTA.
Modelli IA
google

Gemini 2.5 Pro

Modello IA Uscita

Modalità API
Chat*
Finestra di contesto
1.048.576 tokens
Output massimo
65.536 tokens
Pesi aperti
No

Capacità e preferenze

Preferenze umane · Arena

Preferenze complessive sul testo da confronti diretti. Non misura accuratezza fattuale o riuscita dei compiti.

Gemini 2.5 Pro 1457,7 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

Gemini 2.5 Pro

1.439,47 rating

Intervallo di confidenza: 1.434,94 – 1.443,99

22809 voti

Categoria
industry_business_and_management_and_financial_operations
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / industry_entertainment_and_sports_and_mediahuman preference · 2026-10-28 · rating

Gemini 2.5 Pro

1.441,23 rating

Intervallo di confidenza: 1.436,70 – 1.445,75

23305 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 · 2026-10-28 · rating

Gemini 2.5 Pro

1.480,26 rating

Intervallo di confidenza: 1.473,56 – 1.486,96

8933 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 · 2026-10-28 · rating

Gemini 2.5 Pro

1.480,06 rating

Intervallo di confidenza: 1.475,43 – 1.484,70

20864 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 · 2026-10-28 · rating

Gemini 2.5 Pro

1.454,37 rating

Intervallo di confidenza: 1.447,03 – 1.461,71

6914 voti

Categoria
industry_mathematical
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-28 · rating

Gemini 2.5 Pro

1.475,96 rating

Intervallo di confidenza: 1.468,83 – 1.483,09

7987 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 · 2026-10-28 · rating

Gemini 2.5 Pro

1.458,99 rating

Intervallo di confidenza: 1.455,44 – 1.462,54

44018 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 · 2026-10-28 · rating

Gemini 2.5 Pro

1.453,86 rating

Intervallo di confidenza: 1.449,64 – 1.458,08

28255 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 · 2026-10-28 · rating

Gemini 2.5 Pro

1.436,58 rating

Intervallo di confidenza: 1.432,76 – 1.440,40

35203 voti

Categoria
instruction_following
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / japanesehuman preference · 2026-10-28 · rating

Gemini 2.5 Pro

1.461,15 rating

Intervallo di confidenza: 1.446,52 – 1.475,78

2065 voti

Categoria
japanese
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / koreanhuman preference · 2026-10-28 · rating

Gemini 2.5 Pro

1.434,38 rating

Intervallo di confidenza: 1.421,42 – 1.447,33

2501 voti

Categoria
korean
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / longer_queryhuman preference · 2026-10-28 · rating

Gemini 2.5 Pro

1.449,08 rating

Intervallo di confidenza: 1.445,16 – 1.452,99

34004 voti

Categoria
longer_query
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / mathhuman preference · 2026-10-28 · rating

Gemini 2.5 Pro

1.449,68 rating

Intervallo di confidenza: 1.442,81 – 1.456,55

7814 voti

Categoria
math
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / multi_turnhuman preference · 2026-10-28 · rating

Gemini 2.5 Pro

1.452,55 rating

Intervallo di confidenza: 1.447,87 – 1.457,22

21182 voti

Categoria
multi_turn
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / non_englishhuman preference · 2026-10-28 · rating

Gemini 2.5 Pro

1.451,44 rating

Intervallo di confidenza: 1.448,39 – 1.454,49

71214 voti

Categoria
non_english
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / overallhuman preference · 2026-10-28 · rating

Gemini 2.5 Pro

1.457,70 rating

Intervallo di confidenza: 1.455,27 – 1.460,14

125307 voti

Categoria
overall
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / polishhuman preference · 2026-10-28 · rating

Gemini 2.5 Pro

1.478,94 rating

Intervallo di confidenza: 1.470,54 – 1.487,34

6493 voti

Categoria
polish
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / russianhuman preference · 2026-10-28 · rating

Gemini 2.5 Pro

1.460,68 rating

Intervallo di confidenza: 1.455,05 – 1.466,31

12203 voti

Categoria
russian
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / spanishhuman preference · 2026-10-28 · rating

Gemini 2.5 Pro

1.473,61 rating

Intervallo di confidenza: 1.462,62 – 1.484,59

3455 voti

Categoria
spanish
Configurazione valutata
Gemini 2.5 Pro
Tipo di valutazione
human preference
Arena text preference / chinesehuman preference · 2026-10-15 · rating

Gemini 2.5 Pro

1.507,42 rating

Intervallo di confidenza: 1.500,76 – 1.514,08

9318 voti

Categoria
chinese
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / codinghuman preference · 2026-10-15 · rating

Gemini 2.5 Pro

1.451,58 rating

Intervallo di confidenza: 1.447,38 – 1.455,78

26964 voti

Categoria
coding
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / creative_writinghuman preference · 2026-10-15 · rating

Gemini 2.5 Pro

1.453,63 rating

Intervallo di confidenza: 1.448,57 – 1.458,70

17694 voti

Categoria
creative_writing
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / englishhuman preference · 2026-10-15 · rating

Gemini 2.5 Pro

1.458,10 rating

Intervallo di confidenza: 1.454,79 – 1.461,40

54059 voti

Categoria
english
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-15 · rating

Gemini 2.5 Pro

1.460,46 rating

Intervallo di confidenza: 1.457,09 – 1.463,83

91459 voti

Categoria
exclude_ties
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / experthuman preference · 2026-10-15 · rating

Gemini 2.5 Pro

1.452,08 rating

Intervallo di confidenza: 1.445,33 – 1.458,82

8327 voti

Categoria
expert
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / frenchhuman preference · 2026-10-15 · rating

Gemini 2.5 Pro

1.472,38 rating

Intervallo di confidenza: 1.459,10 – 1.485,66

2391 voti

Categoria
french
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / germanhuman preference · 2026-10-15 · rating

Gemini 2.5 Pro

1.487,13 rating

Intervallo di confidenza: 1.474,60 – 1.499,66

2652 voti

Categoria
german
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / hard_promptshuman preference · 2026-10-15 · rating

Gemini 2.5 Pro

1.454,75 rating

Intervallo di confidenza: 1.451,65 – 1.457,86

65927 voti

Categoria
hard_prompts
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-15 · rating

Gemini 2.5 Pro

1.452,53 rating

Intervallo di confidenza: 1.448,44 – 1.456,61

28963 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 · 2026-10-15 · rating

Gemini 2.5 Pro

1.439,51 rating

Intervallo di confidenza: 1.434,98 – 1.444,04

22814 voti

Categoria
industry_business_and_management_and_financial_operations
Configurazione valutata
gemini-2.5-pro
Tipo di valutazione
human preference
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.

Gemini 2.5 Pro

Gemini 2.5 Pro / Fasce di prezzo 6
Provider / condizioniTariffaValutaImporto / unità
GoogleGemini 2.5 ProStandard Fascia token: 0 – 200,000 Input in cacheUSD0.125 / 1M tokens
InputUSD1.25 / 1M tokens
OutputUSD10 / 1M tokens
GoogleGemini 2.5 ProStandard Fascia token: 200,000 – Limite superiore non indicato Input in cacheUSD0.25 / 1M tokens
InputUSD2.5 / 1M tokens
OutputUSD15 / 1M tokens
Google Vertex AIGemini 2.5 ProBatch Fascia token: 0 – 200,000 InputUSD0.625 / 1M tokens
OutputUSD5 / 1M tokens
Google Vertex AIGemini 2.5 ProBatch Fascia token: 200,000 – Limite superiore non indicato InputUSD1.25 / 1M tokens
OutputUSD7.5 / 1M tokens
Google Vertex AIGemini 2.5 ProStandard Fascia token: 0 – 200,000 Input in cacheUSD0.125 / 1M tokens
InputUSD1.25 / 1M tokens
OutputUSD10 / 1M tokens
Google Vertex AIGemini 2.5 ProStandard Fascia token: 200,000 – Limite superiore non indicato Input in cacheUSD0.25 / 1M tokens
InputUSD2.5 / 1M tokens
OutputUSD15 / 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.*
cache read input token cost above 200k tokens priority
4,5e-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 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.*

* Dati provvisori