readable AI benchmarks (simplified)

readable AI benchmarks

Mistral

Mistral Small 3.1

non-reasoning · open weights · Mar 17, 2025

Mistral Small 3.1 has a Quality Score of 17.8, ranking 432nd among 551 scored models. Per 1M tokens, pricing is $0.110 input and $0.170 output. It has a 128k token context window. Its Reliability Score is 24.6, ranking 384th among 553 scored models, below average (total average: 35.6).

Quality Score17.8coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability24.6
Cache Discountnot available

Model specification

Reasoning
non-reasoning
Input modalities
none
Output modalities
none
Context window
128k tokens
Weights
open weights

Token prices USD per 1M tokens

Input
$0.110
Output
$0.170
Cached Input
not available
Cache write
not available
Cost per task
$0.035

Capability

Intelligence
7.1
Coding
not available
Agentic
not available
Omniscience
-50.8
Correct
15.1%
Blended price
not available

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 81.0%

Correct 15.1%Incorrect 65.8%Partial / not attempted 19.1%

Artificial Analysis benchmarks

GDPval-AA v2
0%
τ³-Banking
7%
SciCode
28%
Humanity’s Last Exam
4%
GPQA Diamond
45%
CritPt
0%
AA-Omniscience
25%
AA-LCR
22%

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