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Devstral Small 2

MistralMistral오픈 웨이트Apache 2.0 · 상업적 사용 가능

설명

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.

출시일
2025-12-09
파라미터
24.0B
컨텍스트 길이
256K
모달리티
image, text

능력 레이더

25
general
32
coding
37
reasoning
36
science
36
agents
80
multimodal

랭킹

도메인#순위점수소스
코딩 랭킹407
33.0
AA
종합 랭킹491
28.0
AA
과학451
32.0
AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Reasoning

SWE-Bench Verified53.6%자체 보고

AA 평가 지수

(Artificial Analysis)
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
67.8
Gpqa(NYU + Cohere + Anthropic (2023))
53.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))
34.8
Aime 25(MAA (Mathematical Association of America))
34.3
Math Index(Artificial Analysis)
34.3
Scicode(UIUC + Argonne National Lab (2024))
32.4
Ifbench(Google Research (2023))
31.2
Terminalbench V2 1
29.6
Coding Index(Artificial Analysis)
29.3
Lcr(Artificial Analysis)
28.0
Tau2(Sierra + U Toronto + Vector Institute (2025))
23.4
Terminalbench Hard(Stanford × Laude Institute (2026))
16.7
Tau Banking
10.7
Intelligence Index(Artificial Analysis)
7.5
Hle(Center for AI Safety + Scale AI (2025))
3.5

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))
Reasoning
50
Frontend Development
50
General
50
Code
50

가격

입력 가격무료
출력 가격무료
혼합 가격 (3:1)무료

속도

토큰/초0.0
첫 토큰 지연0.00s
첫 응답 지연0.00s

공급자 가격 순위

공급자 가격 순위

1개 공급자

공급자입력출력
1Pioneer
$0.1
$0.3

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