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Ministral 3 14B

MistralMistral開源權重Apache 2.0 · 商用許可

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 reasoning post-trained version, trained for reasoning tasks, making it ideal for math, coding and stem related 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.

發布日期
2025-12-02
參數規模
14.0B
上下文長度
262K
支援模態
image, text

能力雷達圖

28
general
23
coding
35
reasoning
35
science
31
agents
10
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜406
22.0
AA
通用能力榜384
33.0
AA
科學能力389
34.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)71.2%自報

Code

LiveCodeBench64.6%自報

Communication

Wild Bench68.5%自報
MM-MT-Bench0.08 / 100自報

Creativity

Arena Hard55.1%自報

Finance

MMLU79.4%自報

General

MMLU-Redux82.0%自報
TriviaQA74.9%自報
Multilingual MMLU74.2%自報
AGIEval64.8%自報

Math

MATH90.4%自報
AIME 202489.8%自報
AIME 202585.0%自報
MATH (CoT)67.6%自報

AA 評測指數

(Artificial Analysis)
Math Index(Artificial Analysis)
30.0
Coding Index(Artificial Analysis)
14.4
Intelligence Index(Artificial Analysis)
11.2
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.6
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.4
Ifbench(Google Research (2023))
0.3
Aime 25(MAA (Mathematical Association of America))
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.3
Lcr(Artificial Analysis)
0.3
Scicode(UIUC + Argonne National Lab (2024))
0.2
Terminalbench V2 1
0.1
Tau Banking
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

LLM Stats 分類評分

(LLM Stats (zeroeval))
Math
90
Reasoning
80
General
80
Physics
70
Biology
70
Chemistry
70
Code
60

定價

輸入價格$0.2 / 1M tokens
輸出價格$0.2 / 1M tokens
混合價格(3:1)$0.2 / 1M tokens
快取讀取價格$0.02 / 1M tokens

速度

Tokens/秒93.9
首Token延遲0.53s
首回答延遲0.53s

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主要
$0.2
$0.2
2NanoGPT
$0.2
$0.2
3OpenRouter
$0.2
$0.2
4Kilo Gateway
$0.2
$0.2

比較該模型在不同 API 供應商之間的定價。

外部連結