Ministral 3 14B is a balanced model in the Ministral 3 family, designed for edge deployment. A powerful, efficient language model with vision capabilities, fine-tuned for instruction tasks. Features multilingual support, strong system prompt adherence, and native function calling. Apache 2.0 licensed.
Added Dec 2, 2025
Context Window
262.1K
Max Output
32.8K
Input Price (Auto)
$0.10/1M
Output Price (Auto)
$0.40/1M
Cache Read (Auto)
$0.050/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
11.2
Coding Index
14.4
Agentic Index
2.2
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
57.2%
Better than 33% of models compared
HLE
Humanity's Last Exam
4.6%
Better than 26% of models compared
IFBench
Instruction-following benchmark
32.0%
Better than 19% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
27.2%
Better than 33% of models compared
AA-LCR
Long context reasoning evaluation
25.0%
Better than 33% of models compared
GDPval-AA
Economically valuable tasks
0.0%
CritPt
Research-level physics reasoning
0.0%
Coding
SciCode
Python programming for scientific computing
23.6%
Better than 26% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
4.5%
Better than 29% of models compared
LiveCodeBench
Contamination-free coding benchmark
35.1%
Better than 42% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
30.0%
Better than 31% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
69.3%
Better than 34% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
13.6%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
92.5%
Last updated Aug 16, 2026
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