Mistral Small 3.1
MistralMistral開源權重Apache 2.0 · 商用許可
描述
Mistral Small 3 is a 24B-parameter LLM licensed under Apache-2.0. It focuses on low-latency, high-efficiency instruction following, maintaining performance comparable to larger models. It provides quick, accurate responses for conversational agents, function calling, and domain-specific fine-tuning. Suitable for local inference when quantized, it rivals models 2–3× its size while using significantly fewer compute resources.
發布日期
2025-03-17
參數規模
24.0B
上下文長度
33K
支援模態
image, text
能力雷達圖
29
general
25
coding
19
reasoning
31
science
21
agents
60
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
46.0%自報
Code
HumanEvalOpenAI (2021)
88.4%自報
Communication
MT-Bench
0.83 / 100自報
Wild Bench
52.2%自報
Creativity
Arena Hard
87.6%自報
Factuality
SimpleQA
10.4%自報
Finance
MMLU
80.6%自報
MMLU-Pro
66.8%自報
General
IFEvalGoogle Research (2023)
82.9%自報
TriviaQA
80.5%自報
MBPP
0.75 / 100自報
MMMU
59.3%自報
Math
MATH
69.3%自報
AA 評測指數
(Artificial Analysis)Coding Index(Artificial Analysis)26.3
Intelligence Index(Artificial Analysis)14.9
Math Index(Artificial Analysis)3.7
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.7
Gpqa(NYU + Cohere + Anthropic (2023))0.5
Ifbench(Google Research (2023))0.3
Scicode(UIUC + Argonne National Lab (2024))0.3
Terminalbench V2 10.3
Tau2(Sierra + U Toronto + Vector Institute (2025))0.3
Lcr(Artificial Analysis)0.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.2
Aime(MAA (Mathematical Association of America))0.1
Terminalbench Hard(Stanford × Laude Institute (2026))0.1
Tau Banking0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
Aime 25(MAA (Mathematical Association of America))0.0
LLM Stats 分類評分
(LLM Stats (zeroeval))Creativity90
Writing90
Roleplay80
Structured Output80
Instruction Following80
Code80
Legal70
Math70
Reasoning70
Language70
Finance70
General70
Healthcare70
Communication70
Physics50
Biology50
Chemistry50
定價
輸入價格$0.1 / 1M tokens
輸出價格$0.3 / 1M tokens
混合價格(3:1)$0.15 / 1M tokens
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
3 個供應商
最便宜: OpenRouter最貴: Mistral
供應商輸入輸出
1OpenRouter最便宜
$0.05
$0.08
2Kilo Gateway
$0.05
$0.08
3Mistral主要
$0.1
$0.3
比較該模型在不同 API 供應商之間的定價。