AI BENCHY
Advertise here
#62

GPT-5 Nano

OpenAI Release: 2025-08-07 Tested on: 2026-04-11 01:44 openai/gpt-5-nano::medium
~120B total (~5B active)MoEClosedEstimated

Summary

GPT-5 Nano scores 6.3 on AI BENCHY and ranks #62. It has N/A reliability, a 59.3% pass rate, $0.066 total cost, and 44.13s average response time.

What makes GPT-5 Nano unique: Its total benchmark cost is unusually low for its score range.

Model facts

Researched on 2026-08-12

Estimated
Parameters
~120B total (~5B 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

6.3

Consistency

6.5

Reliability

N/A

Total Output Tokens

161,268

Total Input Tokens

0

Input Price

$0.050 / 1M

Output Price

$0.400 / 1M

Tests Correct

Wrong Tests: 11

Attempt pass rate: 59.3%

Flaky tests

8

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

Response Time (avg)

44.13s

Response Time (max): 204.02s

Response Time (total): 485.47s

Hamster playing table tennis

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

#62 GPT-5 Nano

medium
Cost
$0.006
Time
108.5s
Tokens
13,209 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 02:07 Re-test 6.0 10.0 $0.118 Compare
2026-07-16 22:32 New test added 6.1 10.0 $0.114 Compare
2026-06-04 13:44 New test added 6.3 10.0 $0.081 Compare
2026-05-22 00:17 Suite changed 6.1 10.0 $0.076 Compare
2026-04-11 01:44 First recorded run 6.3 N/A $0.066 Current run

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-11 01:44 · First recorded run54/54 attempts6.36.5N/A7/188161,2680$0.06644.13s
2026-08-14 02:07 · Re-test66/66 attempts6.06.610.08/229282,43794,944$0.11854.20s
Difference+0.3-0.1-1-1-121169-94944-$0.052-10068ms

Benchmark coverage differs: 54/54 attempts (Target: 3 repeats per test) versus 66/66 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 6.5 7.9
Coding 6.7 3.5
Combined 10.0 10.0
Data parsing and extraction 3.7 1.7
Domain specific 5.2 4.4
General Intelligence 4.1 10.0
Instructions following 8.5 6.8
Puzzle Solving 5.3 7.2
Tool Calling 10.0 10.0

Compared models