Gemini 3.1 Pro Preview
GoogleGeminiProprietary
Description
Gemini 3.1 Pro is the latest model in the Gemini 3 series. It excels at complex tasks requiring broad world knowledge and advanced reasoning across modalities. Gemini 3.1 Pro uses dynamic thinking by default to reason through prompts, and features a 1 million-token input context window with 64k output tokens.
Date de sortie
2026-02-19
Paramètres
—
Longueur du contexte
1.0M
Modalités
audio, image, pdf, text, video
Radar de capacités
33
general
67
coding
94
reasoning
72
science
80
agents
80
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Capacité agentique | 19 | 60.0 | LS |
| Classement codage | 90 | 86.0 | AA |
| Classement général | 69 | 71.0 | AA |
| Raisonnement mathématique | 27 | 91.0 | LB |
| Classement multimodal | 32 | 60.0 | LS |
| Raisonnement | 34 | 84.0 | LB |
| Science | 26 | 86.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
99.3%Aut.
Finance Agent v2
43.0%
Code
FrontierSWE
40.0%
DeepSWE 1.1
12.0%
Language
MMMLU
92.6%Aut.
Legal
Legal Agent Benchmark
0.0%
Long Context
MRCR v2 (8-needle)
26.3%Aut.
Math
LiveBench
79.9%
Reasoning
LiveCodeBench Pro
2887.00 / 3000Aut.
GPQANYU + Cohere + Anthropic (2023)
94.3%Aut.
BrowseCompOpenAI (2025)
85.9%Aut.
SWE-Bench Verified
80.6%Aut.
ARC-AGI v2
77.1%Aut.
MCP Atlas
69.2%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)
68.5%Aut.
SciCode
59.0%Aut.
SWE-Bench ProPrinceton NLP (2024)
54.2%Aut.
Humanity's Last Exam
51.4%Aut.
APEX-Agents
33.5%Aut.
Vision
MMMU-Pro
80.5%Aut.
Indices d'évaluation AA
(Artificial Analysis)Tau2(Sierra + U Toronto + Vector Institute (2025))95.6
Gpqa(NYU + Cohere + Anthropic (2023))94.1
Lcr(Artificial Analysis)82.0
Ifbench(Google Research (2023))77.1
Terminalbench V2 173.8
Coding Index(Artificial Analysis)68.8
Scicode(UIUC + Argonne National Lab (2024))58.7
Terminalbench Hard(Stanford × Laude Institute (2026))53.8
Hle(Center for AI Safety + Scale AI (2025))47.0
Intelligence Index(Artificial Analysis)29.7
Tau Banking21.4
Terminalbench V4 04.0
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Code100
Reasoning100
General100
Language90
Search90
Multimodal80
Physics80
Spatial Reasoning80
Frontend Development80
Biology80
Chemistry80
Tool Calling80
Math70
Vision70
Agents50
Finance40
Long Context30
Healthcare20
Legal0
Tarification
Prix d'entrée$2 / 1M tokens
Prix de sortie$12 / 1M tokens
Prix mixte (3:1)$4.5 / 1M tokens
Prix de lecture cache$0.2 / 1M tokens
Vitesse
Tokens/sec129.6
Délai du premier token26.24s
Temps de réponse26.24s
Classement des Prix par Fournisseur
Classement des Prix par Fournisseur
27 fournisseurs
Moins cher: DeepInfraPlus cher: Venice AI
FournisseurEntréeSortie
1DeepInfraMoins cher
$0
$0.00001
2Google
$0
$0.00002
3Kilo Gateway
$1
$6
4302.AI
$2
$12
5NanoGPT
$2
$12
6Abacus
$2
$12
7Perplexity Agent
$2
$12
8OpenRouter
$2
$12
9ZenMux
$2
$12
10Vivgrid
$2
$12
11FrogBot
$2
$12
12AIHubMix
$2
$12
13Requesty
$2
$12
14Vercel AI Gateway
$2
$12
15DevPass (LLM Gateway)
$2
$12
16Vertex
$2
$12
17FastRouter
$2
$12
18Auriko
$2
$12
19OrcaRouter
$2
$12
20Merge Gateway
$2
$12
21DaoXE
$2
$12
22Ofox
$2
$12
23Impossibl
$2
$12
24Eden AI
$2
$12
25Opper
$2
$12
26Tempr Gateway
$2
$12
27Venice AI
$2.5
$15
Comparer les prix entre différents fournisseurs API pour ce modèle.