readable AI benchmarks (simplified)

readable AI benchmarks

Mistral

Ministral 3 14B

non-reasoning · open weights · Dec 2, 2025

Ministral 3 14B has a Quality Score of 13.1, ranking 524th among 571 scored models. Per 1M tokens, pricing is $0.200 input, $0.200 output, and $0.020 cached input. It accepts text and image input, outputs text, and has a 256k token context window. Its Reliability Score is 16.8, ranking 521st among 573 scored models, below average (total average: 36.5). Its Value Score is 12.0, low compared with the total Value average of 31.4.

Quality Score13.1coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score12.0
Factual reliability16.8
Cache Discount90%

Model specification

Reasoning
non-reasoning
Input modalities
text, image
Output modalities
text
Context window
256k tokens
Weights
open weights

Token prices USD per 1M tokens

Input
$0.200
Output
$0.200
Cached Input
$0.020
Cache write
not available
Cost per task
$0.019

Capability

Intelligence
6.0
Coding
not available
Agentic
not available
Omniscience
-66.4
Correct
13.6%
Blended price
$0.074

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 93.5%

Correct 13.6%Incorrect 80.0%Partial / not attempted 6.5%

Artificial Analysis benchmarks

GDPval-AA v2
0%
τ³-Banking
7%
SciCode
24%
Humanity’s Last Exam
5%
GPQA Diamond
57%
CritPt
0%
AA-Omniscience
17%
AA-LCR
26%

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