Gemini 2.5 Pro
GoogleGeminiProprietary
Description
A highly capable AI model from Google, designed for the agentic era. Gemini 2.5 Pro performs well on common benchmarks with enhanced reasoning, multimodal capabilities (text, image, video, audio input), and a 1M token context window.
Date de sortie
2025-06-05
Paramètres
—
Longueur du contexte
1.0M
Modalités
audio, image, pdf, text, video
Radar de capacités
38
general
51
coding
89
reasoning
59
science
78
agents
80
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Audio | 69 | 41.0 | AA |
| Classement codage | 248 | 57.0 | AA |
| Classement général | 230 | 50.0 | AA |
| Classement multimodal | 33 | 60.0 | LS |
| Science | 173 | 62.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Factuality
SimpleQA
54.0%Aut.
General
Global-MMLU-Lite
89.2%Aut.
Aider-Polyglot
82.2%Aut.
Aider-Polyglot Edit
72.7%Aut.
Long Context
MRCR
93.0%Aut.
MRCR 1M (pointwise)
82.9%Aut.
MRCR v2 (8-needle)
16.4%Aut.
Math
AIME 2024
92.0%Aut.
AIME 2025
88.0%Aut.
Multimodal
Video-MME
84.8%Aut.
VideoMMMU
83.6%Aut.
MMMU
82.0%Aut.
Vibe-Eval
67.2%Aut.
Reasoning
FACTS Grounding
87.8%Aut.
GPQANYU + Cohere + Anthropic (2023)
86.4%Aut.
LiveCodeBench v5
75.6%Aut.
LiveCodeBench
69.0%Aut.
SWE-Bench Verified
67.2%Aut.
Humanity's Last Exam
21.6%Aut.
ARC-AGI v2
4.9%
Indices d'évaluation AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))96.7
Aime(MAA (Mathematical Association of America))88.7
Math Index(Artificial Analysis)87.7
Aime 25(MAA (Mathematical Association of America))87.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))86.2
Gpqa(NYU + Cohere + Anthropic (2023))84.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))80.1
Lcr(Artificial Analysis)69.0
Tau2(Sierra + U Toronto + Vector Institute (2025))54.1
Ifbench(Google Research (2023))48.7
Scicode(UIUC + Argonne National Lab (2024))46.3
Coding Index(Artificial Analysis)33.3
Terminalbench V2 128.5
Terminalbench Hard(Stanford × Laude Institute (2026))26.5
Hle(Center for AI Safety + Scale AI (2025))22.5
Intelligence Index(Artificial Analysis)16.1
Tau Banking9.7
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Language90
Long Context90
Multimodal80
Physics80
Healthcare80
Biology80
Chemistry80
Reasoning70
General70
Code70
Math60
Frontend Development60
Factuality50
Vision50
Spatial Reasoning0
Tarification
Prix d'entrée$1.25 / 1M tokens
Prix de sortie$10 / 1M tokens
Prix mixte (3:1)$3.438 / 1M tokens
Prix de lecture cache$0.125 / 1M tokens
Vitesse
Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s
Classement des Prix par Fournisseur
Classement des Prix par Fournisseur
27 fournisseurs
Moins cher: GooglePlus cher: Cortecs
FournisseurEntréeSortie
1GoogleMoins cher
$0
$0.00001
2DeepInfra
$0
$0.00001
3Poe
$0.87
$7
4Jiekou.AI
$1.125
$9
5302.AI
$1.25
$10
6NanoGPT
$1.25
$10
7Abacus
$1.25
$10
8Perplexity Agent
$1.25
$10
9OpenRouter
$1.25
$10
10ZenMux
$1.25
$10
11Kilo Gateway
$1.25
$10
12SAP AI Core
$1.25
$10
13Helicone
$1.25
$10
14FrogBot
$1.25
$10
15AIHubMix
$1.25
$10
16Vercel AI Gateway
$1.25
$10
17DevPass (LLM Gateway)
$1.25
$10
18Vertex
$1.25
$10
19FastRouter
$1.25
$10
20Auriko
$1.25
$10
21NEAR AI Cloud
$1.25
$10
22OrcaRouter
$1.25
$10
23Merge Gateway
$1.25
$10
24Ofox
$1.25
$10
25Modelis
$1.25
$10
26Impossibl
$1.25
$10
27Cortecs
$1.495
$9.964
Comparer les prix entre différents fournisseurs API pour ce modèle.