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#45

GPT-5.2

OpenAI Release: 2025-12-11 Tested on: 2026-04-11 01:44 openai/gpt-5.2::medium

Summary

GPT-5.2 scores 7.5 on AI BENCHY and ranks #45. It has N/A reliability, a 72.2% pass rate, $0.352 total cost, and 14.04s average response time.

What makes GPT-5.2 unique: It stands out most in Coding, where it ranks #1, while Tool Calling is its weakest area at #17.

Score

7.5

Consistency

8.1

Reliability

N/A

Total Output Tokens

21,682

Total Input Tokens

0

Input Price

$1.750 / 1M

Output Price

$14.000 / 1M

Tests Correct

Wrong Tests: 7

Attempt pass rate: 72.2%

Flaky tests

4

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

Response Time (avg)

14.04s

Response Time (max): 77.80s

Response Time (total): 154.41s

Generation showcase

Hamster playing table tennis

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

#45 GPT-5.2

medium
Cost
$0.047
Time
49.2s
Tokens
3,396 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-06-04 13:45 New test added 7.5 10.0 $0.548 Compare
2026-05-22 00:19 Re-test 7.4 10.0 $0.490 Compare
2026-04-11 01:44 First recorded run 7.5 N/A $0.352 Current run

Run comparison

RunScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-11 01:44 · First recorded run7.58.1N/A11/18421,6820$0.35214.04s
2026-06-04 13:45 · New test added7.58.410.013/21434,83333,967$0.54816.88s
Difference0.0-0.3-20-13151-33967-$0.196-2845ms

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 8.0
Coding 10.0 10.0
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 5.9 7.2
General Intelligence 3.7 9.7
Instructions following 9.9 10.0
Puzzle Solving 7.7 7.3
Tool Calling 4.7 1.6

Compared models