Mistral Small 3.1
MistralMistralOpen WeightApache 2.0 · Uso Comercial
Descripción
Mistral Small 3 is a 24B-parameter LLM licensed under Apache-2.0. It focuses on low-latency, high-efficiency instruction following, maintaining performance comparable to larger models. It provides quick, accurate responses for conversational agents, function calling, and domain-specific fine-tuning. Suitable for local inference when quantized, it rivals models 2–3× its size while using significantly fewer compute resources.
Fecha de lanzamiento
2025-03-17
Parámetros
24.0B
Longitud del contexto
33K
Modalidades
image, text
Radar de capacidades
24
general
25
coding
19
reasoning
31
science
21
agents
60
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 465 | 25.0 | AA |
| Ranking general | 497 | 28.0 | AA |
| Ranking multimodal | 108 | 42.0 | LS |
| Ciencia | 503 | 27.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Chat
MT-Bench
0.83 / 100Aut.
IFEvalGoogle Research (2023)
82.9%Aut.
Factuality
SimpleQA
10.4%Aut.
General
Arena Hard
87.6%Aut.
MMLU
80.6%Aut.
TriviaQA
80.5%Aut.
Wild Bench
52.2%Aut.
Language
MMLU-Pro
66.8%Aut.
Math
MATH
69.3%Aut.
Multimodal
MMMU
59.3%Aut.
Reasoning
HumanEvalOpenAI (2021)
88.4%Aut.
MBPP
0.75 / 100Aut.
GPQANYU + Cohere + Anthropic (2023)
46.0%Aut.
Índices de evaluación AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))70.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))65.9
Gpqa(NYU + Cohere + Anthropic (2023))45.4
Ifbench(Google Research (2023))29.9
Scicode(UIUC + Argonne National Lab (2024))27.8
Coding Index(Artificial Analysis)26.3
Terminalbench V2 126.2
Tau2(Sierra + U Toronto + Vector Institute (2025))25.1
Lcr(Artificial Analysis)22.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))21.2
Aime(MAA (Mathematical Association of America))9.3
Terminalbench Hard(Stanford × Laude Institute (2026))7.6
Tau Banking7.4
Intelligence Index(Artificial Analysis)7.1
Hle(Center for AI Safety + Scale AI (2025))4.3
Math Index(Artificial Analysis)3.7
Aime 25(MAA (Mathematical Association of America))3.7
Terminalbench V4 00.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Creativity90
Writing90
Chat80
Instruction Following80
Roleplay80
Structured Output80
Code80
Language70
Legal70
Math70
Reasoning70
Finance70
General70
Healthcare70
Communication70
Physics50
Biology50
Chemistry50
Precios
Precio de entrada$0.11 / 1M tokens
Precio de salida$0.17 / 1M tokens
Precio mixto (3:1)$0.125 / 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
2 proveedores
Más barato: DeepInfraMás caro: Mistral
ProveedorEntradaSalida
1DeepInfraMás barato
$0
$0
2MistralPRINCIPAL
$0.11
$0.17
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