Mistral Small (Sep '24)
MistralMistralOpen WeightApache 2.0 · Uso Comercial
Descripción
Mistral Small 4 is Mistral AI's hybrid small model that unifies instruct, reasoning, multimodal understanding, and coding capabilities in a single efficient system. It uses a 119B-parameter Mixture-of-Experts architecture with native image input, a 256k context window, and configurable reasoning depth for general chat, coding agents, and long-context reasoning workloads.
Fecha de lanzamiento
2024-09-17
Parámetros
119.0B
Longitud del contexto
256K
Modalidades
image, text
Radar de capacidades
19
general
14
coding
28
reasoning
23
science
24
agents
60
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 467 | 15.0 | AA |
| Ranking general | 493 | 22.0 | AA |
| Ciencia | 494 | 22.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
71.2%Aut.
Code
LiveCodeBench
63.6%Aut.
Creativity
Arena Hard
58.3%Aut.
Finance
MMLU
80.7%Aut.
MMLU-Pro
78.0%Aut.
General
ARC-C
91.3%Aut.
TriviaQA
80.3%Aut.
MBPP
0.70 / 100Aut.
AGIEval
65.8%Aut.
MMMU-Pro
60.0%Aut.
IFBench
48.0%Aut.
Language
COLLIE
62.9%Aut.
Long Context
AA-LCR
71.2%Aut.
Math
AIME 2025
83.8%Aut.
GSM8k
80.7%Aut.
MATH
46.0%Aut.
Índices de evaluación AA
(Artificial Analysis)Intelligence Index(Artificial Analysis)4.3
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.6
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.5
Gpqa(NYU + Cohere + Anthropic (2023))0.4
Scicode(UIUC + Argonne National Lab (2024))0.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.1
Aime(MAA (Mathematical Association of America))0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Legal80
Math80
Finance80
Healthcare80
Long Context70
Physics70
Reasoning70
Language70
General70
Biology70
Chemistry70
Multimodal60
Code60
Creativity60
Vision60
Writing60
Instruction Following50
Precios
Precio de entrada$0.2 / 1M tokens
Precio de salida$0.6 / 1M tokens
Precio mixto (3:1)$0.3 / 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
3 proveedores
Más barato: Mistral AIMás caro: Mistral
ProveedorEntradaSalida
1Mistral AIMás barato
$0
$0
2Helicone
$0.075
$0.2
3MistralPRINCIPAL
$0.2
$0.6
Comparar precios entre diferentes proveedores de API para este modelo.