Mistral Large 3
MistralMistral오픈 웨이트Apache 2.0 · 상업적 사용 가능
설명
Mistral Large 3 (675B Instruct 2512 Eagle) 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 base pre-trained version, not fine-tuned for instruction or reasoning tasks, making it ideal for custom post-training processes. Designed for reliability and long-context comprehension - It is engineered for production-grade assistants, retrieval-augmented systems, scientific workloads, and complex enterprise workflows. This model is the Eagle speculator for Mistral Large 3 Instruct. Depending on the task, you can expect noticeable speed-ups on your generations.
출시일
2025-12-02
파라미터
675.0B
컨텍스트 길이
262K
모달리티
image, text
능력 레이더
34
general
31
coding
43
reasoning
44
science
39
agents
85
multimodal
랭킹
벤치마크 점수 (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
43.9%자체 보고
Code
LiveCodeBench
34.4%자체 보고
Communication
MM-MT-Bench
84.90 / 100자체 보고
Wild Bench
68.5%자체 보고
Creativity
Arena Hard
55.1%자체 보고
Factuality
SimpleQA
23.8%자체 보고
General
MMMLU
85.5%자체 보고
MMLU-Redux
82.0%자체 보고
TriviaQA
74.9%자체 보고
Math
MATH
90.4%자체 보고
MATH (CoT)
67.6%자체 보고
AMC_2022_23
52.0%자체 보고
AA 평가 지수
(Artificial Analysis)Math Index(Artificial Analysis)38.0
Coding Index(Artificial Analysis)20.1
Intelligence Index(Artificial Analysis)15.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.5
Aime 25(MAA (Mathematical Association of America))0.4
Scicode(UIUC + Argonne National Lab (2024))0.4
Ifbench(Google Research (2023))0.4
Lcr(Artificial Analysis)0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))0.2
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Terminalbench V2 10.1
Tau Banking0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
LLM Stats 카테고리 점수
(LLM Stats (zeroeval))Language90
Math70
Reasoning50
General50
Physics40
Biology40
Chemistry40
Code30
Factuality20
가격
입력 가격$0.5 / 1M 토큰
출력 가격$1.5 / 1M 토큰
혼합 가격 (3:1)$0.75 / 1M 토큰
속도
토큰/초55.8
첫 토큰 지연0.71s
첫 응답 지연0.71s
공급자 가격 순위
공급자 가격 순위
7개 공급자
최저가: Mistral최고가: 302.AI
공급자입력출력
1Mistral주요
$0.5
$1.5
2OpenRouter
$0.5
$1.5
3Kilo Gateway
$0.5
$1.5
4LLM Gateway
$0.5
$1.5
5Pioneer
$0.5
$1.5
6Cortecs
$0.557
$1.671
7302.AI
$1.1
$3.3
이 모델의 다양한 API 공급자 간 가격 비교.