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Mistral

Ministral 3 14B

Open weightsModels.devHugging Face
Intelligence
6.0
Rank 630 of 744 measured models
Coding
14.4
Rank 249 of 298 measured models
Output speed
64.8 t/s
Rank 264 of 403 measured models
Price/1M
$0.20
Rank 161 of 659 measured models
Context window
256K
Rank 518 of 1199 measured models
Cost per task
$0.0194
Rank 22 of 193 measured models

Ministral 3 14B scores 6.0 on the Artificial Analysis Intelligence Index, ranking 630th of 744 measured models. The closest models on this index are DeepSeek-Coder-V2 (6.0), Granite 4.0 H Small (6.0), and Hermes 3 - Llama-3.1 70B (6.0). At $0.20 per million tokens (3:1 input/output blended price), it is cheaper than Hermes 3 - Llama-3.1 70B ($0.70), more expensive than Granite 4.0 H Small ($0.107). With an output speed of 64.8 t/s, it is faster than Granite 4.0 H Small (14.4 t/s) and Hermes 3 - Llama-3.1 70B (31.5 t/s).

Artificial Analysis Indices
Intelligence6.0
Rank 630 of 744 measured models
Coding14.4
Rank 249 of 298 measured models
Math30.0
Rank 186 of 270 measured models
Agentic1.1
Rank 153 of 189 measured models
Capability indexes
Performance in specific industries, measured by Artificial Analysis
Finance & Accounting5.4
Rank 211 of 218 measured models
Strategy & Ops4.1
Rank 206 of 218 measured models
Legal5.9
Rank 212 of 218 measured models
Engineering7.7
Rank 211 of 217 measured models
Economics8.6
Rank 219 of 225 measured models
Standard Benchmarks
MMLU Pro69.3%
Rank 230 of 349 measured models
GPQA Diamond57.2%
Rank 426 of 619 measured models
HLE4.6%
Rank 510 of 664 measured models
LiveCodeBench35.1%
Rank 198 of 343 measured models
SciCode23.8%
Rank 221 of 231 measured models
AIME 202530.0%
Rank 186 of 270 measured models
IFBench32.0%
Rank 364 of 450 measured models
AA-LCR26.3%
Rank 421 of 575 measured models
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.

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