Gemini 3.5 Flash (high)
GoogleGeminiProprietary
Description
Gemini 3.5 Flash is Google's strongest agentic and coding model in the Flash series, delivering frontier-level performance at up to 4x the speed of comparable frontier models and often at less than half the cost. Built to execute complex, agentic workflows, it outperforms Gemini 3.1 Pro on coding and agentic benchmarks while leading in multimodal understanding. It supports a 1 million-token input context window with 64k output tokens and uses dynamic thinking by default.
Date de sortie
2026-05-19
Paramètres
—
Longueur du contexte
1.0M
Modalités
audio, image, pdf, text, video
Radar de capacités
50
general
67
coding
92
reasoning
69
science
70
agents
80
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Capacité agentique | 12 | 61.0 | LS |
| Classement codage | 52 | 85.0 | AA |
| Classement général | 24 | 88.0 | AA |
| Raisonnement mathématique | 22 | 88.0 | LB |
| Classement multimodal | 21 | 62.0 | LS |
| Raisonnement | 27 | 82.0 | LB |
| Science | 32 | 87.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
Finance Agent
57.9%Aut.
Finance Agent v2
57.9%
Toolathlon
56.5%Aut.
Blueprint-Bench 2
33.6%Aut.
Code
DeepSWE 1.1
37.0%
Legal
Legal Agent Benchmark
0.8%
Long Context
MRCR v2 (8-needle)
26.6%Aut.
Math
LiveBench
75.0%
Multimodal
OSWorld-Verified
78.4%Aut.
Reasoning
CharXiv-R
84.2%Aut.
MCP Atlas
83.6%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)
76.2%Aut.
ARC-AGI v2
72.1%Aut.
SWE-Bench ProPrinceton NLP (2024)
55.1%Aut.
Humanity's Last Exam
40.2%Aut.
Vision
MMMU-Pro
83.6%Aut.
Indices d'évaluation AA
(Artificial Analysis)Tau2(Sierra + U Toronto + Vector Institute (2025))95.3
Gpqa(NYU + Cohere + Anthropic (2023))92.2
Lcr(Artificial Analysis)81.0
Terminalbench V2 178.7
Ifbench(Google Research (2023))76.3
Coding Index(Artificial Analysis)70.1
Scicode(UIUC + Argonne National Lab (2024))53.1
Intelligence Index(Artificial Analysis)52.0
Hle(Center for AI Safety + Scale AI (2025))42.7
Terminalbench Hard(Stanford × Laude Institute (2026))40.9
Tau Banking32.2
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Multimodal80
Spatial Reasoning70
Tool Calling70
Vision70
Long Context60
Math60
Reasoning60
Finance60
General60
Agents60
Code60
Legal0
Tarification
Prix d'entrée$1.5 / 1M tokens
Prix de sortie$9 / 1M tokens
Prix mixte (3:1)$3.375 / 1M tokens
Prix de lecture cache$0.15 / 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
15 fournisseurs
Moins cher: GooglePlus cher: Cortecs
FournisseurEntréeSortie
1GoogleMoins cher
$0
$0.00001
2UnoRouter
$0.1857
$1.1142
3Abacus
$1.5
$9
4SAP AI Core
$1.5
$9
5GitHub Copilot
$1.5
$9
6OpenCode Zen
$1.5
$9
7AIHubMix
$1.5
$9
8Requesty
$1.5
$9
9DevPass (LLM Gateway)
$1.5
$9
10Vertex
$1.5
$9
11Neon
$1.5
$9
12Pioneer
$1.5
$9
13Venice AI
$1.55
$9.45
14Xpersona
$1.55
$12.2
15Cortecs
$1.649
$9.899
Comparer les prix entre différents fournisseurs API pour ce modèle.