OmniaBench - DAG-S: leaderboard

Single-turn versions of the OmniaBench (2026) tool-chain tasks, with the full request given up front. Pass@1 in percent, a task counts only if every rubric item is met; higher is better.

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 February 2027. 22 models tracked.

Top models

#ModelScoreOverall rank
1GLM-5.2 (Max)69#138 (GLM-5.2)
2GPT-5.5 (High)64.5#49 (GPT-5.5)
3DeepSeek V4 Pro (Max)63.5#188 (DeepSeek V4 Pro)
4Claude Sonnet 5 (Max)60.5#111 (Claude Sonnet 5)
5GPT-5.6 Sol (High)59#30 (GPT-5.6 Sol)
6Kimi K2.6 (Thinking)57.5#178 (Kimi K2.6)
7Claude Opus 4.7 (Max)57.5#79 (Claude Opus 4.7)
8DeepSeek V4 Flash (Max)51#258 (DeepSeek V4 Flash)
9Qwen 3.7 Max (Thinking)48.5#145 (Qwen 3.7 Max)
10GLM-5 (Thinking)38.5#260 (GLM-5)
11Gemini 3.5 Flash (High)35.5#101 (Gemini 3.5 Flash)
12Qwen 3.6 27B35#341
13Qwen 3.6 35B A3B32#462
14Gemini 3.1 Pro (Preview)29#94
15Qwen 3.5 397B A17B26#246

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=omniabench-dag-s · How It Works · Data refreshed daily, snapshot 2026-11-13.