Gemini 3.1 Flash-Lite
GoogleGeminiProprietary
Descripción
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.
Fecha de lanzamiento
2026-03-03
Parámetros
—
Longitud del contexto
1.0M
Modalidades
audio, image, pdf, text, video
Radar de capacidades
16
general
36
coding
82
reasoning
56
science
10
agents
80
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 90 | 37.0 | LS |
| Ranking de codificación | 288 | 52.0 | AA |
| Ranking general | 307 | 42.0 | AA |
| Ranking multimodal | 46 | 58.0 | LS |
| Ciencia | 221 | 57.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
Finance Agent v2
30.0%
Factuality
SimpleQA
43.3%Aut.
Language
MMMLU
88.9%Aut.
Legal
Legal Agent Benchmark
0.0%
Long Context
MRCR v2 (8-needle)
60.1%Aut.
Multimodal
VideoMMMU
84.8%Aut.
Reasoning
GPQANYU + Cohere + Anthropic (2023)
86.9%Aut.
CharXiv-R
73.2%Aut.
FACTS Grounding
40.6%Aut.
Humanity's Last Exam
16.0%Aut.
Vision
MMMU-Pro
76.8%Aut.
Índices de evaluación AA
(Artificial Analysis)Gpqa(NYU + Cohere + Anthropic (2023))82.2
Ifbench(Google Research (2023))77.2
Lcr(Artificial Analysis)74.3
Scicode(UIUC + Argonne National Lab (2024))43.4
Coding Index(Artificial Analysis)34.7
Tau2(Sierra + U Toronto + Vector Institute (2025))31.3
Terminalbench V2 131.1
Terminalbench Hard(Stanford × Laude Institute (2026))24.2
Hle(Center for AI Safety + Scale AI (2025))17.2
Intelligence Index(Artificial Analysis)15.6
Tau Banking9.7
Terminalbench V4 00.5
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Language90
Physics90
Biology90
Chemistry90
Multimodal80
Reasoning60
Vision60
Math50
General50
Healthcare50
Long Context40
Factuality40
Grounding40
Finance30
Agents10
Legal0
Precios
Precio de entrada$0.25 / 1M tokens
Precio de salida$1.5 / 1M tokens
Precio mixto (3:1)$0.563 / 1M tokens
Precio de lectura caché$0.025 / 1M tokens
Velocidad
Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
25 proveedores
Más barato: GoogleMás caro: Cortecs
ProveedorEntradaSalida
1GoogleMás barato
$0
$0
2DeepInfra
$0
$0
3Kilo Gateway
$0.125
$0.75
4302.AI
$0.25
$1.5
5NanoGPT
$0.25
$1.5
6Abacus
$0.25
$1.5
7OpenRouter
$0.25
$1.5
8ZenMux
$0.25
$1.5
9Vivgrid
$0.25
$1.5
10SAP AI Core
$0.25
$1.5
11Poe
$0.25
$1.5
12AIHubMix
$0.25
$1.5
13Requesty
$0.25
$1.5
14Vercel AI Gateway
$0.25
$1.5
15DevPass (LLM Gateway)
$0.25
$1.5
16Vertex
$0.25
$1.5
17NEAR AI Cloud
$0.25
$1.5
18OrcaRouter
$0.25
$1.5
19Merge Gateway
$0.25
$1.5
20Pioneer
$0.25
$1.5
21Ofox
$0.25
$1.5
22Impossibl
$0.25
$1.5
23Eden AI
$0.25
$1.5
24Tempr Gateway
$0.25
$1.5
25Cortecs
$0.272
$1.631
Comparar precios entre diferentes proveedores de API para este modelo.