Mistral Large (Feb '24)
MistralMistralOpen WeightApache 2.0 · Usage Commercial
Description
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.
Date de sortie
2024-02-26
Paramètres
675.0B
Longueur du contexte
262K
Modalités
image, text
Radar de capacités
18
general
18
coding
23
reasoning
24
science
21
agents
75
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Classement codage | 435 | 19.0 | AA |
| Classement général | 491 | 22.0 | AA |
| Science | 484 | 23.0 | AA |
Scores 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.
Indices d'évaluation 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
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Language90
Math70
Reasoning50
General50
Physics40
Biology40
Chemistry40
Code30
Factuality20
Tarification
Prix d'entrée$4 / 1M tokens
Prix de sortie$12 / 1M tokens
Prix mixte (3:1)$6 / 1M tokens
Vitesse
Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s
Classement des Prix par Fournisseur
Classement des Prix par Fournisseur
6 fournisseurs
Moins cher: Mistral AIPlus cher: LLM Gateway
FournisseurEntréeSortie
1Mistral AIMoins cher
$0
$0
2Mistral
$0.5
$1.5
3OpenRouter
$2
$6
4Kilo Gateway
$2
$6
5NanoGPT
$2.006
$6.001
6LLM Gateway
$4
$12
Comparer les prix entre différents fournisseurs API pour ce modèle.