AI BENCHY
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#73

GPT-5 Mini

OpenAI Release: 2025-08-07 Tested on: 2026-05-22 00:16 openai/gpt-5-mini::medium
~400B total (~17B active)MoEClosedEstimated

Summary

GPT-5 Mini scores 6.9 on AI BENCHY and ranks #73. It has 10.0 reliability, a 60.0% pass rate, $0.150 total cost, and 23.99s average response time.

What makes GPT-5 Mini unique: It stands out most in Coding, where it ranks #1, while General Intelligence is its weakest area at #17.

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. External research estimate; OpenAI does not disclose the architecture.

Score

6.9

Consistency

8.7

Total Output Tokens

70,358

Total Input Tokens

0

Input Price

$0.250 / 1M

Output Price

$2.000 / 1M

Tests Correct

Wrong Tests: 10

Attempt pass rate: 60.0%

Flaky tests

3

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

Response Time (avg)

23.99s

Response Time (max): 88.15s

Response Time (total): 479.86s

Hamster playing table tennis

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

#73 GPT-5 Mini

medium
Cost
$0.007
Time
42.9s
Tokens
3,432 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 02:07 Re-test 8.1 10.0 $0.241 Compare
2026-07-16 22:27 New test added 8.1 10.0 $0.237 Compare
2026-06-04 13:43 New test added 7.3 10.0 $0.159 Compare
2026-05-22 00:16 Re-test 6.9 10.0 $0.150 Current run
2026-04-11 01:44 First recorded run 7.0 N/A $0.128 Compare

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-05-22 00:16 · Re-test60/60 attempts6.98.710.010/20370,3580$0.15023.99s
2026-06-04 13:43 · New test added63/63 attempts7.39.110.012/21274,49137,100$0.15923.64s
Difference-0.4-0.40.0-2+1-4133-37100-$0.009+353ms

Benchmark coverage differs: 60/60 attempts (Target: 3 repeats per test) versus 63/63 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 7.1 7.6
Coding 10.0 10.0
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 3.6 7.2
General Intelligence 4.5 10.0
Instructions following 7.9 6.5
Puzzle Solving 5.6 9.8
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models