Updated daily at 05:00 UTC
- Released
- 5 Aug 2025
- Status
- Current
- Context
- 131.1K
- Max output
- 131.1K
- Input per 1M tokens
- —
- Output per 1M tokens
- —
- Open weights
- Yes
- License
- apache-2.0
- Parameters
- 117B, 5.1B active
- Knowledge cutoff
- Jun 2024
- Reasoning
- Yes
- Modalities
- text → text
Category scores
Out of 100, from independent and third-party results only, by method category-2026-09-29.1.
| Category | Score | Rank | Coverage |
|---|---|---|---|
| Knowledge & reasoning | 16.1 | 85 | 3 of 4 |
| Coding & software engineering | 41.8 | Not ranked | 1 of 5 |
| Human preference | 43.1 | Not ranked | 1 of 5 |
Benchmark results
Every result we hold for this model, with who ran it and where it was published.
Knowledge & reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Chess Puzzles | Puzzles solved | 20.0% | Independent | high | 11 Dec 2025 | Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 76.3% | Third party | high | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| Humanity's Last Exam (HLE) | Accuracy | 19.0% | Self-reported | — | — | GPT-OSS Model Card via Hugging Face Community Evals |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.2214 | Third party | high | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| MMLU-Pro | Accuracy | 80.8% | Self-reported | — | — | EvalEval via Hugging Face Community Evals |
| Mystery Game Puzzles | Puzzles solved | 2.0% | Independent | medium | 27 Aug 2026 | Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 0.0% | Independent | high | 27 Aug 2026 | Epoch AI |
| SimpleBench | Score (AVG@5) | 22.1% | Third party | — | — | SimpleBench Leaderboard via Epoch AI |
Scientific reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| GPQA Diamond | Accuracy | 75.8% | Independent | high | 11 Dec 2025 | Epoch AI |
| GPQA Diamond | Accuracy | 80.9% | Self-reported | — | — | GPT-OSS Model Card via Hugging Face Community Evals |
| Surface Evolver Bench | Mean score (partial credit) | 25.0% | Third party | — | — | https://yhenon.github.io/surface-evolver-llm-eval/ via Epoch AI |
Mathematics
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| OTIS Mock AIME 2024-2025 | Accuracy | 88.9% | Independent | high | 11 Dec 2025 | Epoch AI |
Coding & software engineering
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Aider Polyglot | Percent correct | 41.8% | Third party | high | — | https://aider.chat/docs/leaderboards/ via Epoch AI |
| Aider Polyglot | Percent correct | 41.8% | Third party | high | — | Aider LLM Leaderboards via Epoch AI |
| METR Time Horizons | Average task success (Epoch's column) | 56.6% | Third party | — | — | METR - Measuring AI Ability to Complete Long Tasks via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 18.7% | Third party | — | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 18.7% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 14.2% | Third party | — | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 14.2% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| WeirdML (v2) | Average accuracy | 48.2% | Third party | high | — | WeirdML Leaderboard via Epoch AI |
| WeirdML (v2) | Average accuracy | 48.2% | Third party | high | — | WeirdML Leaderboard via Epoch AI |
| WeirdML (v2) | Average accuracy | 41.9% | Third party | medium | — | https://htihle.github.io/weirdml.html via Epoch AI |
Professional knowledge work
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| APEX-Agents | Pass@1 (all rubric criteria met) | 4.4% | Source not stated | — | — | Epoch AI via Epoch AI |
Long context
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Fiction.LiveBench | % correct at 16K tokens (Epoch's column) | 44.4% | Third party | high | — | Fiction.live leaderboard via Epoch AI |
| Fiction.LiveBench | % correct at 16K tokens (Epoch's column) | 36.1% | Third party | — | — | Fiction.live leaderboard via Epoch AI |
Writing
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| LLM Creative Story-Writing Benchmark V1 (Lech Mazur) | Mean rubric score (percent of the 10-point scale) | 77.1% | Third party | — | — | lechmazur/writing Github repository via Epoch AI |
Human preference
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Text Arena (arena.ai) | Arena score (Elo scale) | 1352 | Independent | — | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Votes | 30021 | Independent | — | 25 Sep 2026 | Arena |
Other gpt-oss versions
- gpt-oss-safeguard-120b29 Oct 2025
- gpt-oss-safeguard-20b29 Oct 2025
- gpt-oss-20b5 Aug 2025