Saltar al contenido principal
AITier

Gemini 3 Pro Preview (low)

GoogleGeminiProprietary

Descripción

Gemini 3 Pro is the first model in the new Gemini 3 series. It is best for complex tasks that require broad world knowledge and advanced reasoning across modalities. Gemini 3 Pro uses dynamic thinking by default to reason through prompts, and features a 1 million-token input context window with 64k output tokens.

Fecha de lanzamiento
2025-11-18
Parámetros
—
Longitud del contexto
—
Modalidades
audio, image, text, video

Radar de capacidades

50
general
78
coding
87
reasoning
63
science
70
agents
80
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica48
52.0
LS
Ranking de codificación76
76.0
AA
Ranking general131
66.0
AA
Ranking multimodal61
41.0
LS
Ciencia69
76.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

Vending-Bench 2547816.0%Aut.
t2-bench85.4%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)54.2%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)91.9%Aut.

Code

LiveCodeBench Pro2439.00 / 3000Aut.
SWE-Bench Verified76.2%Aut.

Factuality

SimpleQA72.1%Aut.
FACTS Grounding70.5%Aut.

General

Global PIQA93.4%Aut.
MMMLU91.8%Aut.
MMMU-Pro81.0%Aut.
LiveBench73.4%
MRCR v2 (8-needle)26.3%Aut.

Grounding

ScreenSpot Pro72.7%Aut.

Healthcare

VideoMMMU87.6%Aut.

Math

AIME 2025100.0%Aut.
Humanity's Last Exam45.8%Aut.
MathArena Apex23.4%Aut.

Multimodal

CharXiv-R81.4%Aut.
OmniDocBench 1.511.5%Aut.

Reasoning

ARC-AGI v231.1%Aut.

Índices de evaluación AA

(Artificial Analysis)
Math Index(Artificial Analysis)
86.7
Intelligence Index(Artificial Analysis)
33.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.9
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Aime 25(MAA (Mathematical Association of America))
0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.9
Lcr(Artificial Analysis)
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.7
Scicode(UIUC + Argonne National Lab (2024))
0.5
Ifbench(Google Research (2023))
0.5
Terminalbench Hard(Stanford × Laude Institute (2026))
0.3
Hle(Center for AI Safety + Scale AI (2025))
0.3

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Agents
100
Code
100
Reasoning
100
General
100
Physics
90
Language
90
Healthcare
90
Biology
90
Chemistry
90
Frontend Development
80
Math
70
Multimodal
70
Factuality
70
Grounding
70
Tool Calling
70
Vision
60
Spatial Reasoning
50
Long Context
30
Structured Output
10

Precios

Precio de entrada$2 / 1M tokens
Precio de salida$12 / 1M tokens
Precio mixto (3:1)$4.5 / 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

1 proveedores

ProveedorEntradaSalida
1GooglePRINCIPAL
$2
$12

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis