Advertise here
#65

GPT-5.4 Mini

OpenAI Release: 2026-03-17 Tested on: 2026-05-22 00:21 openai/gpt-5.4-mini::medium
~400B total (~17B active)MoEClosedEstimated
(medium) (none)

Summary

GPT-5.4 Mini scores 7.1 on AI BENCHY and ranks #65. It has 10.0 reliability, a 68.3% pass rate, $0.487 total cost, and 22.14s average response time.

Model facts

Researched on 2026-08-12

Estimated
Parameters
~400B total (~17B active)
Architecture
MoE
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. Vendor does not disclose the architecture or count.

Score

7.1

Consistency

7.6

Total Output Tokens

102,892

Total Input Tokens

0

Input Price

$0.750 / 1M

Output Price

$4.500 / 1M

Tests Correct

Wrong Tests: 10

Attempt pass rate: 68.3%

Flaky tests

6

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

Response Time (avg)

22.14s

Response Time (max): 138.75s

Response Time (total): 442.74s

Hamster playing table tennis

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

#65 GPT-5.4 Mini

medium
Cost
$0.056
Time
95.5s
Tokens
12,464 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 02:19 Re-test 7.5 10.0 $0.786 Compare
2026-07-16 22:38 New test added 7.5 10.0 $0.756 Compare
2026-06-04 13:47 New test added 7.5 10.0 $0.526 Compare
2026-05-22 00:21 Suite changed 7.1 10.0 $0.487 Current run
2026-04-11 01:44 First recorded run 7.3 N/A $0.299 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)
2026-05-22 00:21 · Suite changed60/60 attempts7.17.610.010/206102,8920$0.48722.14s
2026-04-11 01:44 · First recorded run54/54 attempts7.37.4N/A9/18661,6980$0.29915.22s
Difference-0.2+0.2+10+411940+$0.189+6920ms

Benchmark coverage differs: 60/60 attempts (Target: 3 repeats per test) versus 54/54 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.

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 8.6 7.9
Coding 7.5 6.0
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 4.1 4.4
General Intelligence 4.5 10.0
Instructions following 7.4 6.7
Puzzle Solving 7.8 10.0
Tool Calling 4.7 1.6
Trivia 3.0 10.0

Compared models