E-Bench: leaderboard

E-Bench (Tencent Hunyuan, 2026) builds synthetic product environments modelled on Honor of Kings, QQ Music and Tencent Meeting with 323 state-changing tasks that require discovering hidden data and composing several tool calls, graded by exact database-state diff over three trials per task. Score is Avg@3, the per-trial success rate averaged over tasks and trials, in percent, with only the domain tools; higher is better.

Metric: Avg@3 (%; per-trial success averaged over tasks and three trials; domain MCP tools only) on 323 synthetic state-changing tasks in three product environments (Honor of Kings, QQ Music, Tencent Meeting), graded by exact database-state diff; three trials per task, each model at its highest available thinking effort in a shared MCP harness. Source: arxiv.org. Saturation forecast: Around February 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1Kimi K3 (Max)73.79#54 (Kimi K3)
2GPT-5.5 (xHigh)72.03#49 (GPT-5.5)
3Claude Opus 4.8 (Max)68.78#56 (Claude Opus 4.8)
4Grok 4.5 (High)66.1#82 (Grok 4.5)
5GLM-5.2 (Max)52.32#138 (GLM-5.2)
6Qwen 3.7 Max50.88#145
7Hy350.15#195
8Seed 2.1 Pro47.94#135
9Gemini 3.5 Flash (High)42.62#101 (Gemini 3.5 Flash)
10MiniMax-M341.07#269
11DeepSeek V4 Pro (Max)34.47#188 (DeepSeek V4 Pro)

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

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