Ministral 3 8B
MistralMistral開源權重Mistral Research License
描述
The Ministral-8B-Instruct-2410 is an instruct fine-tuned model for local intelligence, on-device computing, and at-the-edge use cases, significantly outperforming existing models of similar size.
發布日期
2025-12-02
參數規模
8.0B
上下文長度
—
支援模態
image, text
能力雷達圖
23
general
18
coding
34
reasoning
29
science
29
agents
80
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Chat
MT-Bench
0.83 / 100自報
MM-MT-Bench
0.08 / 100自報
General
Arena Hard
70.9%自報
Multilingual MMLU
70.6%自報
Wild Bench
66.8%自報
TriviaQA
65.5%自報
MMLU
65.0%自報
French MMLU
57.5%自報
Language
MMLU-Redux
79.3%自報
Math
AIME 2024
86.0%自報
AIME 2025
78.7%自報
MATH (CoT)
62.6%自報
MATH
54.5%自報
Reasoning
Winogrande
75.3%自報
ARC-C
71.9%自報
MBPP pass@1
70.0%自報
GPQANYU + Cohere + Anthropic (2023)
66.8%自報
LiveCodeBench
61.6%自報
AGIEval
48.3%自報
HumanEvalOpenAI (2021)
34.8%自報
AA 評測指數
(Artificial Analysis)Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))64.2
Gpqa(NYU + Cohere + Anthropic (2023))47.1
Math Index(Artificial Analysis)31.7
Aime 25(MAA (Mathematical Association of America))31.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))30.3
Ifbench(Google Research (2023))29.1
Tau2(Sierra + U Toronto + Vector Institute (2025))26.6
Lcr(Artificial Analysis)25.7
Scicode(UIUC + Argonne National Lab (2024))20.7
Coding Index(Artificial Analysis)9.7
Intelligence Index(Artificial Analysis)5.5
Terminalbench Hard(Stanford × Laude Institute (2026))4.5
Hle(Center for AI Safety + Scale AI (2025))4.3
Terminalbench V2 14.1
Tau Banking3.7
Terminalbench V4 00.0
LLM Stats 分類評分
(LLM Stats (zeroeval))Chat80
Roleplay80
Communication80
Creativity80
Language70
Finance70
Healthcare70
Writing70
Legal60
Math60
Reasoning60
General60
Code30
定價
輸入價格$0.15 / 1M tokens
輸出價格$0.15 / 1M tokens
混合價格(3:1)$0.15 / 1M tokens
速度
Tokens/秒97.6
首Token延遲0.46s
首回答延遲0.46s
供應商價格排行
供應商價格排行
4 個供應商
最便宜: Mistral最貴: Kilo Gateway
供應商輸入輸出
1Mistral最便宜
$0.1
$0.1
2NanoGPT
$0.15
$0.15
3OpenRouter
$0.15
$0.15
4Kilo Gateway
$0.15
$0.15
比較該模型在不同 API 供應商之間的定價。