E-Bench-Code: 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. In E-Bench-Code the agent also has an exec_code tool; score is Avg@3 in percent, higher is better.

Metric: Avg@3 (%; per-trial success averaged over tasks and three trials; domain MCP tools plus an exec_code tool) 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
1Claude Opus 4.8 (Max)81.11#56 (Claude Opus 4.8)
2Kimi K3 (Max)77.61#54 (Kimi K3)
3GPT-5.5 (xHigh)77.19#49 (GPT-5.5)
4Grok 4.5 (High)69.24#82 (Grok 4.5)
5Hy364.4#195
6Gemini 3.5 Flash (High)62.54#101 (Gemini 3.5 Flash)
7Qwen 3.7 Max61.92#145
8GLM-5.2 (Max)60.99#138 (GLM-5.2)
9Seed 2.1 Pro53.04#135
10DeepSeek V4 Pro (Max)47.68#188 (DeepSeek V4 Pro)
11MiniMax-M346.85#269

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-code · How It Works · Data refreshed daily, snapshot 2026-11-13.