Devstral Small 2
MistralMistral開源權重Apache 2.0 · 商用許可
描述
Devstral Small 1.1 (also called devstral-small-2507) is based on the Mistral-Small-3.1 foundation model and contains approximately 24 billion parameters. It supports a 128k token context window, which allows it to handle multi-file code inputs and long prompts typical in software engineering workflows. The model is fine-tuned specifically for structured outputs, including XML and function-calling formats. This makes it compatible with agent frameworks such as OpenHands and suitable for tasks like program navigation, multi-step edits, and code search. It is licensed under Apache 2.0 and available for both research and commercial use.
發布日期
2025-12-09
參數規模
24.0B
上下文長度
256K
支援模態
image, text
能力雷達圖
31
general
31
coding
37
reasoning
35
science
35
agents
80
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Code
SWE-Bench Verified
53.6%自報
AA 評測指數
(Artificial Analysis)Math Index(Artificial Analysis)34.3
Coding Index(Artificial Analysis)29.3
Intelligence Index(Artificial Analysis)17.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.7
Gpqa(NYU + Cohere + Anthropic (2023))0.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.3
Aime 25(MAA (Mathematical Association of America))0.3
Ifbench(Google Research (2023))0.3
Terminalbench V2 10.3
Scicode(UIUC + Argonne National Lab (2024))0.3
Lcr(Artificial Analysis)0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))0.2
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Tau Banking0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
LLM Stats 分類評分
(LLM Stats (zeroeval))Reasoning50
Frontend Development50
General50
Code50
定價
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輸出價格免費
混合價格(3:1)免費
速度
Tokens/秒89.3
首Token延遲0.71s
首回答延遲0.71s
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