Evo-Bench - Office: leaderboard
Metric: Held-out score (%; the fixed DeepSeek-V4-Flash policy runs the harness the model evolved from a CodeAct seed within 20 iterations, 1,000 steps and 48 hours; mean of 64 GDPval and 64 APEX-Agents held-out tasks; one run). Source: arxiv.org. Saturation forecast: Around 2031. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.6 Sol (Max) | 41.6 |
| 2 | Gemma 4 31B (IT) (Thinking) | 40.4 |
| 3 | Claude Opus 4.8 (Max) | 39.7 |
| 4 | GLM-5.2 (Max) | 39.2 |
| 5 | DeepSeek V4 Pro (Max) | 39.1 |
Interactive version: theaggregate.ai/benchmark?slug=evo-bench-office · How It Works · Data refreshed daily, snapshot 2026-09-26.