LongCLI-Bench - Fail-to-Pass Rate: leaderboard
Metric: Fail-to-pass rate (%), mean of three attempts: share of the 20 long-horizon command-line programming tasks of LongCLI-Bench (CS course assignments and real research and engineering workflows: from scratch, feature addition, bug fix and refactor; isolated Docker environments; about 15,000 lines of code per task); each agent runs through its own harness (Codex, Claude Code or OpenHands) with a unified system prompt; whose requirement (fail-to-pass) tests all pass, regressions aside; higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 9 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Opus 4.6 | 20 | #60 |
| 2 | Claude Opus 4.5 | 20 | #79 |
| 3 | GPT-5.3 Codex | 18.3 | #68 |
| 4 | GPT-5.1 Codex Max | 16.7 | #94 |
| 5 | Claude Sonnet 4.5 | 13.3 | #138 |
| 6 | Qwen 3 235B A22B | 13.3 | #304 |
| 7 | GPT-5.2 Codex | 13.3 | #89 |
| 8 | DeepSeek V3.1 | 11.7 | #260 |
| 9 | GLM-4.6 | 11.7 | #246 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=longcli-bench-fail-to-pass-rate · How It Works · Data refreshed daily, snapshot 2026-10-11.