OpenAI PRs
Agents replicate internal OpenAI pull requests from a pre-PR branch and a prompt. Graded by hidden unit tests as pass@1.
In-house OpenAI AI self-improvement evaluation. The tasks are not public.
- Level
- Research frontier Researchers, on open problems or tasks that take days
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
2 models share the top score of 55% among models released by Dec 2025
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in Dec 2025, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1 GPT-5.2 55%
- 2 GPT-5.2 Codex 55%
- 3 GPT-5.1-Codex-Max 53%
- 4 GPT-5 45%
- 5 o3 44%
- 6 OpenAI deep research 42%
- 7 GPT-5 mini 42%
- 8 o4-mini 39%
- 9 gpt-oss-120b 37%
- 10 gpt-oss-20b 37%
- 11 GPT-4.5 7.00%
- 12 o3-mini 0%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5.2 | 55% | Dec 2025 | Model card | |
| 2 | GPT-5.2 Codex | 55% | Dec 2025 | Model card | |
| 3 | GPT-5.1-Codex-Max | 53% | Nov 2025 | Model card | |
| 4 | GPT-5 | 45% | Aug 2025 | Model card | |
| 5 | o3 | 44% | Apr 2025 | Model card | |
| 6 | OpenAI deep research | 42% | Feb 2025 | Model card | |
| 7 | GPT-5 mini | 42% | Aug 2025 | Model card | |
| 8 | o4-mini | 39% | Apr 2025 | Model card | |
| 9 | gpt-oss-120b | 37% | Aug 2025 | Model card | |
| 10 | gpt-oss-20b | 37% | Aug 2025 | Model card | |
| 11 | GPT-4.5 | 7.00% | Feb 2025 | Model card | |
| 12 | o3-mini | 0% | Jan 2025 | Model card |
6 models have held number one since its release in Jan 2025
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
13 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 18 Dec 2025 | GPT-5.2 Codex system card addendum | 55 | OpenAI PRs (no browsing), pass@1, printed chart label (Figure 7, 5.1.3.1) | AI R&D risk |
| 11 Dec 2025 | GPT-5.2 system card addendum | 55 | OpenAI PRs (no browsing), pass@1, printed chart label (Figure 11) | AI R&D risk |
| 18 Nov 2025 | GPT-5.1-Codex-Max system card | 53 | OpenAI PRs (no browsing), pass@1, printed chart label (Figure 13, 5.1.3.4) | AI R&D risk |
| 7 Aug 2025 | GPT-5 system card | 45 | OpenAI PRs (no browsing), pass@1, launch candidate (Figure 20) | AI R&D risk |
| 7 Aug 2025 | GPT-5 mini system card | 42 | OpenAI PRs (no browsing), pass@1, gpt-5-thinking-mini launch candidate (Figure 20) | AI R&D risk |
| 5 Aug 2025 | gpt-oss-20b model card | 37 | OpenAI PRs (no browsing), pass@1, gpt-oss 20b launch candidate (Figure 15) | AI R&D risk |
| 5 Aug 2025 | gpt-oss-120b model card | 37 | OpenAI PRs (no browsing), pass@1, gpt-oss 120b launch candidate (Figure 15) | AI R&D risk |
| 17 Jul 2025 | ChatGPT agent system card | OpenAI PRs (no browsing), pass@1, chart shows only ChatGPT Agent no-browsing helpful-only at 42%, no released-model value (Figure 17, 5.1.3.3) | AI R&D risk | |
| 16 Apr 2025 | o4-mini system card | 39 | OpenAI PRs (no browsing), pass@1, o4-mini launch candidate (Figure 20, 4.4.3) | AI R&D risk |
| 16 Apr 2025 | o3 system card | 44 | OpenAI PRs (no browsing), pass@1, o3 launch candidate (Figure 20, 4.4.3) | AI R&D risk |
| 27 Feb 2025 | GPT-4.5 system card | 7 | OpenAI PRs, pass@1, GPT-4.5 (Post), printed chart label (4.6.5) | Autonomy |
| 25 Feb 2025 | OpenAI deep research system card | 42 | OpenAI PRs, pass@1, post-mitigation without browsing, printed chart label (3.4.7) | Autonomy |
| 31 Jan 2025 | o3-mini system card | 0 | OpenAI PRs, pre- and post-mitigation (5.7.5) | Autonomy |
More in AI research
- MLS-Bench In use Agent must invent one algorithmic change in an ML research scaffold whose gain transfers across settings. Scored relative to human baselines. Claude Fable 5.1 50.3%
- PaperBench In use Agent replicates ICML 2024 papers from scratch. LLM judge grades against author-written hierarchical rubrics.
Qwen 3.8 Max 93%
- MLE-bench In use Kaggle-style ML engineering competitions. Agent trains models and is scored against competition leaderboards. GPT-6 Astra 93.8%
- PostTrainBench 1.2 In use CLI agent gets a base model, one H100 and a time budget to post-train it for a target benchmark. Scored on normalized gain. Claude Fable 5.1 44.6%
- KernelBench In use Replace PyTorch operators with faster custom GPU kernels. Scored on correctness and speedup.
MiniMax-M3 28.8%
- OpenAI Research Engineer Interview: Multiple Choice Only in system cards Models answer 97 multiple-choice questions drawn from OpenAI machine learning interview topics. Scored as cons@32. o4-mini 83%