Gemini 3.1 Flash-Lite
GoogleGeminiProprietary
Description
Gemini 3.1 Flash-Lite is the first Flash-Lite model in the Gemini 3 series. It is optimized for high-volume, latency-sensitive tasks like translation, content moderation, and classification. It delivers enhanced performance at a fraction of the cost of larger models, with 2.5x faster Time to First Answer Token and 45% increased output speed compared to 2.5 Flash. Supports text, image, video, audio, and PDF input with a 1 million-token context window.
Date de sortie
2026-03-03
Paramètres
—
Longueur du contexte
1.0M
Modalités
audio, image, pdf, text, video
Radar de capacités
24
general
36
coding
82
reasoning
55
science
10
agents
80
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Capacité agentique | 130 | 29.0 | LS |
| Classement codage | 198 | 53.0 | AA |
| Classement général | 230 | 51.0 | AA |
| Classement multimodal | 48 | 46.0 | LS |
| Science | 145 | 62.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
Finance Agent v2
30.0%
Legal Agent Benchmark
0.0%
Biology
GPQANYU + Cohere + Anthropic (2023)
86.9%Aut.
Factuality
SimpleQA
43.3%Aut.
FACTS Grounding
40.6%Aut.
General
MMMLU
88.9%Aut.
MMMU-Pro
76.8%Aut.
MRCR v2 (8-needle)
60.1%Aut.
Healthcare
VideoMMMU
84.8%Aut.
Math
Humanity's Last Exam
16.0%Aut.
Multimodal
CharXiv-R
73.2%Aut.
Indices d'évaluation AA
(Artificial Analysis)Coding Index(Artificial Analysis)34.7
Intelligence Index(Artificial Analysis)25.6
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Ifbench(Google Research (2023))0.8
Lcr(Artificial Analysis)0.7
Scicode(UIUC + Argonne National Lab (2024))0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))0.3
Terminalbench V2 10.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Hle(Center for AI Safety + Scale AI (2025))0.2
Tau Banking0.1
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Physics90
Language90
Biology90
Chemistry90
Multimodal80
Reasoning60
Vision60
Math50
General50
Healthcare50
Long Context40
Factuality40
Grounding40
Finance30
Agents10
Legal0
Tarification
Prix d'entrée$0.25 / 1M tokens
Prix de sortie$1.5 / 1M tokens
Prix mixte (3:1)$0.563 / 1M tokens
Prix de lecture cache$0.025 / 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
20 fournisseurs
Moins cher: GooglePlus cher: Cortecs
FournisseurEntréeSortie
1GoogleMoins cher
$0
$0
2NanoGPT
$0.25
$1.5
3Abacus
$0.25
$1.5
4OpenRouter
$0.25
$1.5
5ZenMux
$0.25
$1.5
6Vivgrid
$0.25
$1.5
7Kilo Gateway
$0.25
$1.5
8SAP AI Core
$0.25
$1.5
9Poe
$0.25
$1.5
10AIHubMix
$0.25
$1.5
11Vercel AI Gateway
$0.25
$1.5
12LLM Gateway
$0.25
$1.5
13Vertex
$0.25
$1.5
14NEAR AI Cloud
$0.25
$1.5
15OrcaRouter
$0.25
$1.5
16Merge Gateway
$0.25
$1.5
17Pioneer
$0.25
$1.5
18Ofox
$0.25
$1.5
19Impossibl
$0.25
$1.5
20Cortecs
$0.272
$1.631
Comparer les prix entre différents fournisseurs API pour ce modèle.