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#79

Mistral Small 4

Mistral Release: 2026-03-16 Tested on: 2026-04-11 01:44 mistralai/mistral-small-2603::medium
(medium) (none)

Summary

Mistral Small 4 scores 5.7 on AI BENCHY and ranks #79. It has N/A reliability, a 50.0% pass rate, $0.034 total cost, and 5.64s average response time.

What makes Mistral Small 4 unique: It stands out most in Coding, where it ranks #4, while Puzzle Solving is its weakest area at #18. Its total benchmark cost is unusually low for its score range.

Score

5.7

Consistency

6.8

Reliability

N/A

Total Output Tokens

54,492

Total Input Tokens

0

Input Price

$0.150 / 1M

Output Price

$0.600 / 1M

Tests Correct

Wrong Tests: 13

Attempt pass rate: 50.0%

Flaky tests

7

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

5.64s

Response Time (max): 30.49s

Response Time (total): 101.52s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#79 Mistral Small 4

medium
Cost
$0.006
Time
47.9s
Tokens
9,857 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-07-16 22:23 New test added 5.1 10.0 $0.096 Compare
2026-06-04 13:43 New test added 5.3 10.0 $0.068 Compare
2026-05-22 00:16 Suite changed 5.4 10.0 $0.056 Compare
2026-04-11 01:44 First recorded run 5.7 N/A $0.034 Current run

Run comparison

RunScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-11 01:44 · First recorded run5.76.8N/A5/18754,4920$0.0345.64s
2026-05-22 00:16 · Suite changed5.47.110.05/20789,6830$0.0568.33s
Difference+0.3-0.300-351910-$0.022-2689ms

These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 5.6 3.8
Coding 6.7 3.5
Combined 3.0 10.0
Data parsing and extraction 7.3 5.9
Domain specific 5.3 7.2
General Intelligence 4.8 10.0
Instructions following 7.3 5.8
Puzzle Solving 3.4 9.7
Tool Calling 10.0 10.0

Compared models