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AITier

Gemini 1.0 Pro

GoogleGeminiProprietary

Descripción

Gemini 1.0 Pro is a Natural Language Processing (NLP) model designed for tasks such as multi-turn text and code chat, and code generation. It supports text input and output, making it ideal for natural language tasks. The model is optimized for handling complex conversations and generating code snippets. It offers adjustable safety settings and supports function calling, but does not support JSON mode, JSON schema, or system instructions. The latest stable version is gemini-1.0-pro-001, and it was last updated in February 2024.

Fecha de lanzamiento
2023-12-06
Parámetros
—
Longitud del contexto
—
Modalidades
text

Radar de capacidades

16
general
12
coding
18
reasoning
20
science
16
agents
0
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Ranking de codificación574
12.0
AA
Ranking general598
18.0
AA
Ranking multimodal122
37.0
LS
Ciencia641
13.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

General

MMLU71.8%Aut.

Language

FLEURS93.6%
WMT2371.7%

Math

MathVista46.6%
MATH32.6%

Multimodal

MMMU47.9%

Reasoning

BIG-Bench75.0%
GPQANYU + Cohere + Anthropic (2023)27.9%

Vision

EgoSchema55.7%Aut.

Índices de evaluación AA

(Artificial Analysis)
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
43.1
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
40.3
Gpqa(NYU + Cohere + Anthropic (2023))
27.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
11.6
Intelligence Index(Artificial Analysis)
5.3
Hle(Center for AI Safety + Scale AI (2025))
4.2
Aime(MAA (Mathematical Association of America))
0.7

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Speech To Text
90
Language
80
Legal
70
Finance
70
Long Context
60
Math
60
General
60
Healthcare
60
Multimodal
50
Reasoning
50
Vision
50
Physics
30
Biology
30
Chemistry
30

Precios

Precio de entradaGratis
Precio de salidaGratis
Precio mixto (3:1)Gratis

Velocidad

Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s

Ranking de Precios por Proveedor

No hay datos de proveedores disponibles

Fuentes externas

LLM StatsArtificial Analysis