OmniaBench - DAG-S: leaderboard
Metric: Pass@1 (%; 200 single-turn tasks refined from the DAG route; a task counts as solved only when every rubric item is satisfied (Program tasks by a VerifyCode check); up to 200 tool-call steps; challenging set of 644 tasks evaluated June 29 to July 15, 2026). Source: arxiv.org. Saturation forecast: Around December 2026. 22 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GLM-5.2 (Max) | 69 |
| 2 | GPT-5.5 (High) | 64.5 |
| 3 | DeepSeek V4 Pro (Max) | 63.5 |
| 4 | Claude Sonnet 5 (Max) | 60.5 |
| 5 | GPT-5.6 Sol (High) | 59 |
| 6 | Kimi K2.6 (Thinking) | 57.5 |
| 7 | Claude Opus 4.7 (Max) | 57.5 |
| 8 | DeepSeek V4 Flash (Max) | 51 |
| 9 | Qwen 3.7 Max (Thinking) | 48.5 |
| 10 | GLM-5 (Thinking) | 38.5 |
| 11 | Gemini 3.5 Flash (High) | 35.5 |
| 12 | Qwen 3.6 27B | 35 |
| 13 | Qwen 3.6 35B A3B | 32 |
| 14 | Gemini 3.1 Pro (Preview) | 29 |
| 15 | Qwen 3.5 397B A17B | 26 |
Interactive version: theaggregate.ai/benchmark?slug=omniabench-dag-s · How It Works · Data refreshed daily, snapshot 2026-09-29.