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
39
general
80
coding
60
reasoning
61
science
60
agents
80
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 28 | 55.0 | LS |
| Ranking de codificación | 199 | 66.0 | AA |
| Ranking general | 220 | 51.0 | AA |
| Ranking multimodal | 51 | 57.0 | LS |
| Ciencia | 233 | 53.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
90.2%Aut.
Toolathlon
49.4%Aut.
Finance Agent v2
42.5%
Factuality
SimpleQA
68.7%Aut.
Language
MMMLU
91.8%Aut.
Legal
Legal Agent Benchmark
0.0%
Long Context
MRCR v2 (8-needle)
22.1%Aut.
Math
AIME 2025
99.7%Aut.
LiveBench
72.4%
Multimodal
VideoMMMU
86.9%Aut.
Reasoning
Vending-Bench 2
363500.0%Aut.
LiveCodeBench Pro
2316.00 / 3000Aut.
Global PIQA
92.8%Aut.
GPQANYU + Cohere + Anthropic (2023)
90.4%Aut.
CharXiv-R
80.3%Aut.
SWE-Bench Verified
78.0%Aut.
FACTS Grounding
61.9%Aut.
MCP Atlas
57.4%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)
47.6%Aut.
Humanity's Last Exam
43.5%Aut.
ARC-AGI v2
33.6%Aut.
Vision
MMMU-Pro
81.2%Aut.
ScreenSpot Pro
69.1%Aut.
OmniDocBench 1.5
12.1%Aut.
Índices de evaluación AA
(Artificial Analysis)Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))88.2
Gpqa(NYU + Cohere + Anthropic (2023))81.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))79.7
Math Index(Artificial Analysis)55.7
Aime 25(MAA (Mathematical Association of America))55.7
Lcr(Artificial Analysis)55.3
Ifbench(Google Research (2023))55.1
Tau2(Sierra + U Toronto + Vector Institute (2025))43.3
Terminalbench Hard(Stanford × Laude Institute (2026))31.8
Intelligence Index(Artificial Analysis)17.9
Hle(Center for AI Safety + Scale AI (2025))15.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Code100
Agents100
Reasoning100
General100
Language90
Physics90
Biology90
Chemistry90
Math80
Frontend Development80
Multimodal70
Factuality70
Grounding70
Tool Calling60
Vision60
Spatial Reasoning50
Healthcare50
Finance40
Long Context20
Structured Output10
Legal0
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
14 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
9DevPass (LLM Gateway)
$0.5
$3
10Vertex
$0.5
$3
11Neon
$0.5
$3
12Pioneer
$0.5
$3
13Opper
$0.5
$3
14Venice AI
$0.7
$3.75
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