PLE Dev - Overall - codex: leaderboard
PLE evaluates agents on its separate 29-task development set from professional engineering work. Results distinguish the agent tools and engineering discipline. Mean task reward (0–1).
Metric: Mean task reward (0–1). Source: ple-bench.com. Saturation forecast: Around April 2027. 18 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Opus 5.5 | 0.55 | #3 |
| 2 | GPT-6 Astra | 0.53 | #5 |
| 3 | Gemini 4 Argon | 0.43 | #9 |
| 4 | Claude Sonnet 5.5 | 0.42 | #12 |
| 5 | Claude Opus 5 | 0.39 | #15 |
| 6 | Claude Fable 5 | 0.35 | #19 |
| 7 | Gemini 3.8 Flash | 0.27 | #25 |
| 8 | Grok 4.7 | 0.27 | #27 |
| 9 | GLM-5.2 | 0.26 | #77 |
| 10 | Gemini 3.1 Pro (Preview) | 0.13 | #61 |
| 11 | DeepSeek V4.1 Flash | 0.06 | #38 |
| 12 | MiniMax-M2 | 0.04 | #322 |
| 13 | Qwen 3 Coder 480B A35B | 0.04 | #279 |
| 14 | GPT-OSS-120B | 0.04 | #341 |
| 15 | Kimi K2 (Thinking) | 0.03 | #246 (Kimi K2) |
No result here: #7 GPT-6.1 Sol, #10 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=ple-dev-overall-codex · How It Works · Data refreshed daily, snapshot 2026-10-29.