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Mistral Large (Feb '24)

MistralMistral오픈 웨이트Apache 2.0 · 상업적 사용 가능

설명

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.

출시일
2024-02-26
파라미터
675.0B
컨텍스트 길이
262K
모달리티
image, text

능력 레이더

19
general
18
coding
23
reasoning
25
science
21
agents
75
multimodal

랭킹

도메인#순위점수소스
코딩 랭킹522
19.0
AA
종합 랭킹558
22.0
AA
과학592
17.0
AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Factuality

SimpleQA23.8%자체 보고

Language

MMMLU85.5%자체 보고

Math

AMC_2022_2352.0%자체 보고

Reasoning

GPQANYU + Cohere + Anthropic (2023)43.9%자체 보고
LiveCodeBench34.4%자체 보고

AA 평가 지수

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
52.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
51.5
Gpqa(NYU + Cohere + Anthropic (2023))
35.1
Livecodebench(UC Berkeley + MIT + Cornell (2024))
17.8
Intelligence Index(Artificial Analysis)
5.8
Hle(Center for AI Safety + Scale AI (2025))
3.5
Aime(MAA (Mathematical Association of America))
0.0

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))
Language
90
Math
70
Reasoning
50
General
50
Physics
40
Biology
40
Chemistry
40
Code
30
Factuality
20

가격

입력 가격$4 / 1M 토큰
출력 가격$12 / 1M 토큰
혼합 가격 (3:1)$6 / 1M 토큰
캐시 읽기 가격$0.05 / 1M 토큰

속도

토큰/초0.0
첫 토큰 지연0.00s
첫 응답 지연0.00s

공급자 가격 순위

공급자 가격 순위

6개 공급자

최저가: Mistral AI최고가: DevPass (LLM Gateway)
공급자입력출력
1Mistral AI최저가
$0
$0
2Mistral
$0.5
$1.5
3OpenRouter
$2
$6
4Kilo Gateway
$2
$6
5NanoGPT
$2.006
$6.001
6DevPass (LLM Gateway)
$4
$12

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