Magistral Medium 1
Mistral開源權重Apache 2.0 · 商用許可
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.
發布日期
2025-06-10
參數規模
24.0B
上下文長度
128K
支援模態
text
能力雷達圖
31
general
48
coding
58
reasoning
43
science
55
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
70.8%自報
Code
LiveCodeBench
50.3%自報
Aider-Polyglot
47.1%自報
Math
AIME 2024
73.6%自報
AIME 2025
64.9%自報
Humanity's Last Exam
9.0%自報
AA 評測指數
(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 分類評分
(LLM Stats (zeroeval))Physics70
Biology70
Chemistry70
Math50
Reasoning50
General50
Code50
Vision10
定價
輸入價格免費
輸出價格免費
混合價格(3:1)免費
速度
Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s
供應商價格排行
供應商價格排行
1 個供應商
供應商輸入輸出
1Mistral
$2
$5
比較該模型在不同 API 供應商之間的定價。