Mistral Large (Feb '24)
MistralMistralOpen WeightApache 2.0 · Uso Comercial
Descripción
Mistral Large 3 (675B Instruct 2512) is a state-of-the-art general-purpose Multimodal granular Mixture-of-Experts model with 41B active parameters and 675B total parameters trained from scratch with 3000 H200s. This model is the instruct post-trained version in FP8, fine-tuned for instruction tasks, making it ideal for chat, agentic and instruction based use cases. A no-loss FP8 version to reduce resource requirements. Can be deployed on a node of B200s or H200s. Designed for reliability and long-context comprehension - It is engineered for production-grade assistants, retrieval-augmented systems, scientific workloads, and complex enterprise workflows.
Fecha de lanzamiento
2024-02-26
Parámetros
675.0B
Longitud del contexto
262K
Modalidades
image, text
Radar de capacidades
18
general
18
coding
23
reasoning
24
science
21
agents
75
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 439 | 19.0 | AA |
| Ranking general | 495 | 22.0 | AA |
| Ciencia | 488 | 23.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
43.9%Aut.
Code
LiveCodeBench
34.4%Aut.
Factuality
SimpleQA
23.8%Aut.
General
MMMLU
85.5%Aut.
Math
AMC_2022_23
52.0%Aut.
Índices de evaluación AA
(Artificial Analysis)Intelligence Index(Artificial Analysis)4.1
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.5
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))0.2
Hle(Center for AI Safety + Scale AI (2025))0.0
Aime(MAA (Mathematical Association of America))0.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Language90
Math70
Reasoning50
General50
Physics40
Biology40
Chemistry40
Code30
Factuality20
Precios
Precio de entrada$4 / 1M tokens
Precio de salida$12 / 1M tokens
Precio mixto (3:1)$6 / 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
6 proveedores
Más barato: Mistral AIMás caro: LLM Gateway
ProveedorEntradaSalida
1Mistral AIMás barato
$0
$0
2Mistral
$0.5
$1.5
3OpenRouter
$2
$6
4Kilo Gateway
$2
$6
5NanoGPT
$2.006
$6.001
6LLM Gateway
$4
$12
Comparar precios entre diferentes proveedores de API para este modelo.