readable AI benchmarks (simplified)

readable AI benchmarks

Mistral

Mistral Small 4 (Non-reasoning)

non-reasoning · open weights · release date not listed

Mistral Small 4 (Non-reasoning) has a Quality Score of 19.8, ranking 408th among 571 scored models. Per 1M tokens, pricing is $0.150 input, $0.600 output, and $0.015 cached input. It has a 256k token context window. Its Reliability Score is 25.7, ranking 384th among 573 scored models, below average (total average: 36.5). Its Value Score is 17.7, low compared with the total Value average of 31.4.

Quality Score19.8coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score17.7
Factual reliability25.7
Cache Discount90%

Model specification

Reasoning
non-reasoning
Input modalities
none
Output modalities
none
Context window
256k tokens
Weights
open weights

Token prices USD per 1M tokens

Input
$0.150
Output
$0.600
Cached Input
$0.015
Cache write
not available
Cost per task
not available

Capability

Intelligence
9.0
Coding
not available
Agentic
not available
Omniscience
-48.5
Correct
16.6%
Blended price
$0.100

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 81.6%

Correct 16.6%Incorrect 65.1%Partial / not attempted 18.4%

Artificial Analysis benchmarks

Humanity’s Last Exam
4%
GPQA Diamond
57%
CritPt
0%
AA-Omniscience
26%
AA-LCR
28%

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