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uxwizz.com
#86

GPT-5.5

OpenAI Release: 2026-04-24 Tested on: 2026-05-22 00:19 openai/gpt-5.5::none
~1.5T total (~100B active)MoEClosedEstimated
(medium) (low) (none)

Summary

GPT-5.5 scores 6.5 on AI BENCHY and ranks #86. It has 10.0 reliability, a 56.7% pass rate, $0.217 total cost, and 1.94s average response time.

What makes GPT-5.5 unique: It is notably fast compared with similar models.

Model facts

Researched on 2026-08-12

Estimated
Parameters
~1.5T total (~100B active)
Architecture
MoE
Availability
Closed
License
-

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

Score

6.5

Consistency

8.7

Total Output Tokens

1,949

Total Input Tokens

0

Input Price

$5.000 / 1M

Output Price

$30.000 / 1M

Tests Correct

Wrong Tests: 10

Attempt pass rate: 56.7%

Flaky tests

3

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

Response Time (avg)

1.94s

Response Time (max): 5.56s

Response Time (total): 38.86s

Hamster playing table tennis

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

#86 GPT-5.5

none
Cost
$0.090
Time
54.3s
Tokens
3,063 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 02:17 Re-test 7.0 10.0 $0.544 Compare
2026-07-16 22:34 New test added 6.9 10.0 $0.544 Compare
2026-06-04 13:46 New test added 6.4 10.0 $0.231 Compare
2026-05-22 00:19 Suite changed 6.5 10.0 $0.217 Current run
2026-04-24 19:59 Initial run 6.8 N/A $0.195 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 00:19 · Suite changed60/60 attempts6.58.710.010/2031,9490$0.2171.94s
2026-04-24 19:59 · Initial run54/54 attempts6.88.3N/A9/1841,9100$0.1951.83s
Difference-0.2+0.4+1-1+390+$0.022+117ms

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 6.9 7.9
Coding 6.8 10.0
Combined 3.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 2.9 7.2
General Intelligence 10.0 10.0
Instructions following 6.2 5.8
Puzzle Solving 7.7 10.0
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models