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Ministral 3 14B

MistralMistralOpen WeightApache 2.0 · Commercial OK

Description

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.

Release Date
2025-12-02
Parameters
14.0B
Context Length
262K
Modalities
image, text

Capability Radar

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

Rankings

Domain#RankScoreSource
Code Ranking406
22.0
AA
General Ranking384
33.0
AA
Science389
34.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)71.2%SR

Code

LiveCodeBench64.6%SR

Communication

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

Creativity

Arena Hard55.1%SR

Finance

MMLU79.4%SR

General

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

Math

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

AA Evaluation Indices

(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 Category Scores

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

Pricing

Input Price$0.2 / 1M tokens
Output Price$0.2 / 1M tokens
Blended Price (3:1)$0.2 / 1M tokens
Cache Read Price$0.02 / 1M tokens

Speed

Tokens/sec93.9
Time to First Token0.53s
Time to Answer0.53s

Provider Price Ranking

Provider Price Ranking

4 providers

Cheapest: MistralMost Expensive: Kilo Gateway
ProviderInputOutput
1MistralPRIMARY
$0.2
$0.2
2NanoGPT
$0.2
$0.2
3OpenRouter
$0.2
$0.2
4Kilo Gateway
$0.2
$0.2

Compare pricing across different API providers for this model.

External Sources

LLM StatsArtificial Analysis