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Magistral Medium 1

Mistral开源权重Apache 2.0 · 商用许可

描述

Trained solely with reinforcement learning on top of Mistral Medium 3, Magistral Medium is a reasoning model that achieves strong performance on complex math and code tasks without relying on distillation from existing reasoning models. The training uses an RLVR framework with modifications to GRPO, enabling improved reasoning ability and multilingual consistency.

发布日期
2025-06-10
参数规模
24.0B
上下文长度
128K
支持模态
text

能力雷达图

31
general
48
coding
58
reasoning
43
science
55
agents
0
multimodal

排行榜排名

领域#排名分数来源
代码能力榜395
24.0
AA
通用能力榜404
32.0
AA
科学能力313
44.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)70.8%自报

Code

LiveCodeBench50.3%自报
Aider-Polyglot47.1%自报

Math

AIME 202473.6%自报
AIME 202564.9%自报
Humanity's Last Exam9.0%自报

AA 评测指数

(Artificial Analysis)
Math Index(Artificial Analysis)
40.3
Intelligence Index(Artificial Analysis)
12.5
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Aime(MAA (Mathematical Association of America))
0.7
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))
0.3
Ifbench(Google Research (2023))
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Lcr(Artificial Analysis)
0.0

LLM Stats 分类评分

(LLM Stats (zeroeval))
Physics
70
Biology
70
Chemistry
70
Math
50
Reasoning
50
General
50
Code
50
Vision
10

定价

输入价格免费
输出价格免费
混合价格(3:1)免费

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

1 个供应商

供应商输入输出
1Mistral
$2
$5

比较该模型在不同 API 供应商之间的定价。

外部链接