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Gemini 3 Flash Preview (Non-reasoning)

GoogleGeminiProprietary

Descripción

Gemini 3 Flash offers frontier intelligence built for speed at a fraction of the cost. It combines Gemini 3's Pro-grade reasoning with Flash-level latency, efficiency and cost. Features a 1 million-token input context window and is optimized for agentic workflows, coding, and complex analysis.

Fecha de lanzamiento
2025-12-17
Parámetros
Longitud del contexto
1.0M
Modalidades
audio, image, pdf, text, video

Radar de capacidades

44
general
73
coding
60
reasoning
57
science
60
agents
80
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica95
40.0
LS
Ranking de codificación136
66.0
AA
Ranking general185
58.0
AA
Ranking multimodal64
40.0
LS
Ciencia135
64.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

Vending-Bench 2363500.0%Aut.
t2-bench90.2%Aut.
MCP Atlas57.4%Aut.
Toolathlon49.4%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)47.6%Aut.
Finance Agent v242.5%
Legal Agent Benchmark0.0%

Biology

GPQANYU + Cohere + Anthropic (2023)90.4%Aut.

Code

LiveCodeBench Pro2316.00 / 3000Aut.
SWE-Bench Verified78.0%Aut.

Factuality

SimpleQA68.7%Aut.
FACTS Grounding61.9%Aut.

General

Global PIQA92.8%Aut.
MMMLU91.8%Aut.
MMMU-Pro81.2%Aut.
LiveBench72.4%
MRCR v2 (8-needle)22.1%Aut.

Grounding

ScreenSpot Pro69.1%Aut.

Healthcare

VideoMMMU86.9%Aut.

Math

AIME 202599.7%Aut.
Humanity's Last Exam43.5%Aut.

Multimodal

CharXiv-R80.3%Aut.
OmniDocBench 1.512.1%Aut.

Reasoning

ARC-AGI v233.6%Aut.

Índices de evaluación AA

(Artificial Analysis)
Math Index(Artificial Analysis)
55.7
Intelligence Index(Artificial Analysis)
27.9
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
Aime 25(MAA (Mathematical Association of America))
0.6
Ifbench(Google Research (2023))
0.6
Lcr(Artificial Analysis)
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.5
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.4
Terminalbench Hard(Stanford × Laude Institute (2026))
0.3
Hle(Center for AI Safety + Scale AI (2025))
0.1

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Code
100
Agents
100
Reasoning
100
General
100
Physics
90
Language
90
Biology
90
Chemistry
90
Math
80
Frontend Development
80
Multimodal
70
Factuality
70
Grounding
70
Tool Calling
60
Vision
60
Spatial Reasoning
50
Healthcare
50
Finance
40
Long Context
20
Structured Output
10
Legal
0

Precios

Precio de entrada$0.5 / 1M tokens
Precio de salida$3 / 1M tokens
Precio mixto (3:1)$1.125 / 1M tokens
Precio de lectura caché$0.05 / 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

13 proveedores

Más barato: GoogleMás caro: Venice AI
ProveedorEntradaSalida
1GoogleMás barato
$0
$0
2QiHang
$0.07
$0.43
3302.AI
$0.5
$3
4Abacus
$0.5
$3
5Jiekou.AI
$0.5
$3
6OpenCode Zen
$0.5
$3
7FrogBot
$0.5
$3
8AIHubMix
$0.5
$3
9LLM Gateway
$0.5
$3
10Vertex
$0.5
$3
11Neon
$0.5
$3
12Pioneer
$0.5
$3
13Venice AI
$0.7
$3.75

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas