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
43
general
51
coding
89
reasoning
57
science
78
agents
84
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Audio | 63 | 53.0 | AA |
| Classement codage | 179 | 58.0 | AA |
| Classement général | 198 | 56.0 | AA |
| Classement multimodal | 34 | 54.0 | LS |
| Science | 119 | 66.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
86.4%Aut.
Code
Aider-Polyglot
82.2%Aut.
Aider-Polyglot Edit
72.7%Aut.
LiveCodeBench
69.0%Aut.
SWE-Bench Verified
67.2%Aut.
Factuality
FACTS Grounding
87.8%Aut.
SimpleQA
54.0%Aut.
General
MRCR
93.0%Aut.
Global-MMLU-Lite
89.2%Aut.
MRCR 1M (pointwise)
82.9%Aut.
MMMU
82.0%Aut.
LiveCodeBench v5
75.6%Aut.
Vibe-Eval
67.2%Aut.
MRCR v2 (8-needle)
16.4%Aut.
Healthcare
VideoMMMU
83.6%Aut.
Math
AIME 2024
92.0%Aut.
AIME 2025
88.0%Aut.
Humanity's Last Exam
21.6%Aut.
Multimodal
Video-MME
84.8%Aut.
Reasoning
ARC-AGI v2
4.9%
Indices d'évaluation AA
(Artificial Analysis)Math Index(Artificial Analysis)87.7
Coding Index(Artificial Analysis)33.3
Intelligence Index(Artificial Analysis)25.9
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))1.0
Aime(MAA (Mathematical Association of America))0.9
Aime 25(MAA (Mathematical Association of America))0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.9
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.8
Lcr(Artificial Analysis)0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))0.5
Ifbench(Google Research (2023))0.5
Scicode(UIUC + Argonne National Lab (2024))0.4
Terminalbench V2 10.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.3
Hle(Center for AI Safety + Scale AI (2025))0.2
Tau Banking0.1
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Long Context90
Language90
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
26 fournisseurs
Moins cher: GooglePlus cher: OrcaRouter
FournisseurEntréeSortie
1GoogleMoins cher
$0
$0.00001
2Poe
$0.87
$7
3Jiekou.AI
$1.125
$9
4302.AI
$1.25
$10
5NanoGPT
$1.25
$10
6Abacus
$1.25
$10
7Perplexity Agent
$1.25
$10
8OpenRouter
$1.25
$10
9ZenMux
$1.25
$10
10Kilo Gateway
$1.25
$10
11SAP AI Core
$1.25
$10
12Helicone
$1.25
$10
13FrogBot
$1.25
$10
14AIHubMix
$1.25
$10
15Vercel AI Gateway
$1.25
$10
16LLM Gateway
$1.25
$10
17Vertex
$1.25
$10
18FastRouter
$1.25
$10
19Auriko
$1.25
$10
20NEAR AI Cloud
$1.25
$10
21Merge Gateway
$1.25
$10
22Ofox
$1.25
$10
23Modelis
$1.25
$10
24Impossibl
$1.25
$10
25Cortecs
$1.495
$9.964
26OrcaRouter
$2.5
$15
Comparer les prix entre différents fournisseurs API pour ce modèle.