DTap-Bench (Benign Tasks) - Workflow: leaderboard

Benign workflow (email, calendar, documents, messaging and payments) tasks from DTap-Bench (Chen et al., 2026), run by a tool-using agent in simulated MCP environments with no attack applied. Success rate in percent over 335 tasks, averaged over task categories and judged by a rule-based check of the final environment state; higher is better.

Metric: Benign task success rate (%; 335 benign workflow (email, calendar, documents, messaging, payments) tasks, no attack applied; a task succeeds when a rule-based check of the final environment state finds the instruction fully completed; mean of its task-category rates). Source: arxiv.org. Saturation forecast: Estimated already saturated. 9 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4 Pro96.4#181
2Gemini 3 Pro89.4#135
3GPT-5.588.1#48
4GPT-5.479.8#121
5GPT-5.179.2#225
6GPT-5.276.4#172
7Claude Sonnet 4.569.8#244
8GPT-OSS-120B56.8#699

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

Interactive version: theaggregate.ai/benchmark?slug=dtap-bench-benign-tasks-workflow · How It Works · Data refreshed daily, snapshot 2026-11-12.