Ministral 3 14B
MistralMistral开源权重Apache 2.0 · 商用许可
描述
A balanced model in the Ministral 3 family, Ministral 3 14B is a powerful, efficient tiny language model with vision capabilities. This model is the instruct post-trained version in FP8, fine-tuned for instruction tasks, making it ideal for chat and instruction based use cases. The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware. Ministral 3 14B can even be deployed locally, capable of fitting in 24GB of VRAM in BF16, and less than 12GB of RAM/VRAM when quantized.
发布日期
2025-12-02
参数规模
14.0B
上下文长度
262K
支持模态
image, text
能力雷达图
25
general
23
coding
35
reasoning
35
science
31
agents
10
multimodal
排行榜排名
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Chat
MM-MT-Bench
0.08 / 100自报
General
MMLU
79.4%自报
TriviaQA
74.9%自报
Multilingual MMLU
74.2%自报
Wild Bench
68.5%自报
Arena Hard
55.1%自报
Language
MMLU-Redux
82.0%自报
Math
MATH
90.4%自报
AIME 2024
89.8%自报
AIME 2025
85.0%自报
MATH (CoT)
67.6%自报
Reasoning
GPQANYU + Cohere + Anthropic (2023)
71.2%自报
AGIEval
64.8%自报
LiveCodeBench
64.6%自报
AA 评测指数
(Artificial Analysis)Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))69.3
Gpqa(NYU + Cohere + Anthropic (2023))57.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))35.1
Ifbench(Google Research (2023))32.0
Math Index(Artificial Analysis)30.0
Aime 25(MAA (Mathematical Association of America))30.0
Tau2(Sierra + U Toronto + Vector Institute (2025))27.2
Lcr(Artificial Analysis)26.3
Scicode(UIUC + Argonne National Lab (2024))23.8
Coding Index(Artificial Analysis)14.4
Terminalbench V2 19.7
Tau Banking6.6
Intelligence Index(Artificial Analysis)6.0
Hle(Center for AI Safety + Scale AI (2025))4.6
Terminalbench Hard(Stanford × Laude Institute (2026))4.5
Terminalbench V4 00.0
LLM Stats 分类评分
(LLM Stats (zeroeval))Math90
Reasoning70
General60
Creativity60
Writing60
Communication40
Chat30
Multimodal10
定价
输入价格$0.2 / 1M tokens
输出价格$0.2 / 1M tokens
混合价格(3:1)$0.2 / 1M tokens
缓存读取价格$0.02 / 1M tokens
速度
Tokens/秒73.4
首Token延迟0.70s
首回答延迟0.70s
供应商价格排行
供应商价格排行
4 个供应商
最便宜: Mistral最贵: Kilo Gateway
供应商输入输出
1Mistral主要
$0.2
$0.2
2NanoGPT
$0.2
$0.2
3OpenRouter
$0.2
$0.2
4Kilo Gateway
$0.2
$0.2
比较该模型在不同 API 供应商之间的定价。