Doc2Harness - File operations: leaderboard
Table 2; three independent builds per model in the same fixed builder harness; development document plus interface skeleton; 328 end-to-end test cases; frozen artifact tested by scripted mock model; category means and overall weighted by test count. Metric: Pass rate (%). Higher is better. Source: https://arxiv.org/html/2610.20344v1
Metric: Pass rate (%). Source: arxiv.org. Saturation forecast: Around 2029. 19 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Grok 4.7 | 50.7 | #27 |
| 2 | GPT-5.6 Sol | 48.9 | #18 |
| 3 | Claude Opus 4.8 | 48.4 | #38 |
| 4 | GPT-6 Astra | 46.7 | #5 |
| 5 | Step 5 Preview | 45.8 | #41 |
| 6 | GLM-5.3 | 41.8 | #40 |
| 7 | Kimi K3 | 40.9 | #30 |
| 8 | MiMo-V2.6-Flash | 40.4 | #62 |
| 9 | Claude Opus 5 | 39.6 | #12 |
| 10 | Hy4 preview | 38.2 | #39 |
| 11 | Qwen 3.8 Max (0902) | 38.2 | #28 |
| 12 | Claude Opus 4.6 | 37.3 | #60 |
| 13 | GPT-5.5 | 36.4 | #32 |
| 14 | DeepSeek V4.1 Flash | 36.4 | #36 |
| 15 | DeepSeek V4 Pro | 33.3 | #99 |
No result here: #3 Claude Opus 5.5, #7 Gemini 4 Argon, #8 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=doc2harness-file-operations · How It Works · Data refreshed daily, snapshot 2026-10-16.