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Mistral Large 3

MistralMistral开源权重Apache 2.0 · 商用许可

描述

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.

发布日期
2025-12-02
参数规模
675.0B
上下文长度
262K
支持模态
image, text

能力雷达图

34
general
31
coding
43
reasoning
44
science
39
agents
85
multimodal

排行榜排名

领域#排名分数来源
代码能力榜323
34.0
AA
通用能力榜324
39.0
AA
科学能力298
45.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)43.9%自报

Code

LiveCodeBench34.4%自报

Communication

MM-MT-Bench84.90 / 100自报
Wild Bench68.5%自报

Creativity

Arena Hard55.1%自报

Factuality

SimpleQA23.8%自报

General

MMMLU85.5%自报
MMLU-Redux82.0%自报
TriviaQA74.9%自报

Math

MATH90.4%自报
MATH (CoT)67.6%自报
AMC_2022_2352.0%自报

AA 评测指数

(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 1
0.1
Tau Banking
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0

LLM Stats 分类评分

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

定价

输入价格$0.5 / 1M tokens
输出价格$1.5 / 1M tokens
混合价格(3:1)$0.75 / 1M tokens

速度

Tokens/秒55.8
首Token延迟0.71s
首回答延迟0.71s

供应商价格排行

供应商价格排行

7 个供应商

最便宜: Mistral最贵: 302.AI
供应商输入输出
1Mistral主要
$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

比较该模型在不同 API 供应商之间的定价。

外部链接