Model card
GPT-5.2.
OpenAIproprietary
§ 02 · Benchmarks
Every benchmark GPT-5.2 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | MMLU | Reasoning · Commonsense Reasoning | accuracy | 92.4% | #2 | 2026-02-01 | source ↗ |
| 02 | MMMU-Pro | Multimodal · Visual Question Answering | accuracy | 81.0% | #2 | 2025-12-11 | source ↗ |
| 03 | Tau2-Bench | Agentic AI · Tool Use | pass_rate | 73.0% | #2 | 2025-12-11 | source ↗ |
| 04 | HLE | Reasoning · Multi-step Reasoning | accuracy | 27.8% | #20 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where GPT-5.2 actually performs.
§ 05 · Related models
Other OpenAI models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
codesota-shadow-mmlu
1
result
artificialanalysis.ai
1
result
editorial
1
result
scale-hle-official
1
result
3 of 4 rows marked verified. · first result 2025-12-11, latest 2026-02-01.