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#266

Mistral Small 4

Mistral Release: 2026-03-16 Tested on: 2026-08-14 02:04 mistralai/mistral-small-2603::none
119B total (6B active)MoEOpen source
(medium) (none)

Summary

Mistral Small 4 scores 5.1 on AI BENCHY and ranks #266. It has 10.0 reliability, a 25.8% pass rate, $0.022 total cost, and 1.20s average response time.

What makes Mistral Small 4 unique: It is notably fast compared with similar models.

Model facts

Researched on 2026-08-12

Reported
Parameters
119B total (6B active)
Architecture
MoE
Availability
Open source
License
Apache-2.0

The vendor also reports 8B active when embeddings are included; UI uses routed active parameters.

Score

5.1

Consistency

9.6

Total Output Tokens

9,812

Total Input Tokens

104,717

Input Price

$0.150 / 1M

Output Price

$0.600 / 1M

Tests Correct

Wrong Tests: 17

Attempt pass rate: 25.8%

Flaky tests

1

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

Response Time (avg)

1.20s

Response Time (max): 13.16s

Response Time (total): 26.41s

Hamster playing table tennis

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

#266 Mistral Small 4

none
Cost
$0.002
Time
10.4s
Tokens
2,370 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 02:04 Re-test 5.1 10.0 $0.022 Current run
2026-07-16 22:21 New test added 5.1 10.0 $0.022 Compare
2026-06-04 13:41 New test added 4.9 10.0 $0.007 Compare
2026-05-22 00:14 Suite changed 5.0 10.0 $0.007 Compare
2026-04-11 01:44 First recorded run 5.2 N/A $0.006 Compare

This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-08-14 02:04 · Current run66/66 attempts5.19.610.05/2219,812104,717$0.0221.20s
2026-05-22 00:14 · Suite changed60/60 attempts5.09.510.05/2012,2510$0.007658ms
Difference+0.2+0.10.000+7561+104717+$0.016+543ms

Benchmark coverage differs: 66/66 attempts (Target: 3 repeats per test) versus 60/60 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.

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

Price History

Historical pricing data for this model from OpenRouter.

Date Input Price Output Price
2026-08-14 12:51 $0.150 / 1M $0.600 / 1M

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 3.4 7.9
Coding 3.7 9.7
Combined 3.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 5.3 10.0
General Intelligence 4.0 10.0
Instructions following 6.5 10.0
Puzzle Solving 3.1 9.9
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models