Ministral 3 8B
MistralMistralOpen WeightMistral Research License
Descripción
The Ministral-8B-Instruct-2410 is an instruct fine-tuned model for local intelligence, on-device computing, and at-the-edge use cases, significantly outperforming existing models of similar size.
Fecha de lanzamiento
2025-12-02
Parámetros
8.0B
Longitud del contexto
—
Modalidades
image, text
Radar de capacidades
23
general
18
coding
34
reasoning
29
science
29
agents
80
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 512 | 19.0 | AA |
| Ranking general | 531 | 26.0 | AA |
| Ciencia | 537 | 24.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Chat
MT-Bench
0.83 / 100Aut.
MM-MT-Bench
0.08 / 100Aut.
General
Arena Hard
70.9%Aut.
Multilingual MMLU
70.6%Aut.
Wild Bench
66.8%Aut.
TriviaQA
65.5%Aut.
MMLU
65.0%Aut.
French MMLU
57.5%Aut.
Language
MMLU-Redux
79.3%Aut.
Math
AIME 2024
86.0%Aut.
AIME 2025
78.7%Aut.
MATH (CoT)
62.6%Aut.
MATH
54.5%Aut.
Reasoning
Winogrande
75.3%Aut.
ARC-C
71.9%Aut.
MBPP pass@1
70.0%Aut.
GPQANYU + Cohere + Anthropic (2023)
66.8%Aut.
LiveCodeBench
61.6%Aut.
AGIEval
48.3%Aut.
HumanEvalOpenAI (2021)
34.8%Aut.
Índices de evaluación AA
(Artificial Analysis)Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))64.2
Gpqa(NYU + Cohere + Anthropic (2023))47.1
Math Index(Artificial Analysis)31.7
Aime 25(MAA (Mathematical Association of America))31.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))30.3
Ifbench(Google Research (2023))29.1
Tau2(Sierra + U Toronto + Vector Institute (2025))26.6
Lcr(Artificial Analysis)25.7
Scicode(UIUC + Argonne National Lab (2024))20.7
Coding Index(Artificial Analysis)9.7
Intelligence Index(Artificial Analysis)5.5
Terminalbench Hard(Stanford × Laude Institute (2026))4.5
Hle(Center for AI Safety + Scale AI (2025))4.3
Terminalbench V2 14.1
Tau Banking3.7
Terminalbench V4 00.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Chat80
Roleplay80
Communication80
Creativity80
Language70
Finance70
Healthcare70
Writing70
Legal60
Math60
Reasoning60
General60
Code30
Precios
Precio de entrada$0.15 / 1M tokens
Precio de salida$0.15 / 1M tokens
Precio mixto (3:1)$0.15 / 1M tokens
Velocidad
Tokens/seg101.9
Retraso del primer token0.49s
Tiempo hasta la respuesta0.49s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
4 proveedores
Más barato: MistralMás caro: Kilo Gateway
ProveedorEntradaSalida
1MistralMás barato
$0.1
$0.1
2NanoGPT
$0.15
$0.15
3OpenRouter
$0.15
$0.15
4Kilo Gateway
$0.15
$0.15
Comparar precios entre diferentes proveedores de API para este modelo.