Benchmark for autonomous coding/scientific agents reproducing Large Hadron Collider analyses. Public CodeSOTA score is Acc_tau at tau=0.33: the percent of simulation tasks whose relative-L2 error is below 0.33, derived from Table 2 and Eq. 4 of arXiv:2605.13950.
6 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.
| # | Model | Org | Submitted | Paper / code | acc-tau-0-33 |
|---|---|---|---|---|---|
| 01 | Codex CLI (GPT-5.5)API | OpenAI | Jan 2026 | Collider-Bench: Benchmarking AI Agents with Particle Phy… | 30 |
| 02 | Claude Code (Opus 4.7)API | Anthropic | Jan 2026 | Collider-Bench: Benchmarking AI Agents with Particle Phy… | 20 |
| 03 | Claude Code (Sonnet 4.6)API | Anthropic | Jan 2026 | Collider-Bench: Benchmarking AI Agents with Particle Phy… | 10 |
| 04 | Claude Code (Haiku 4.5)API | Anthropic | Jan 2026 | Collider-Bench: Benchmarking AI Agents with Particle Phy… | 0.000 |
| 05 | Codex CLI (GPT-5.4-mini)API | OpenAI | Jan 2026 | Collider-Bench: Benchmarking AI Agents with Particle Phy… | 0.000 |
| 06 | ForgeCode (DeepSeek-V4)API | DeepSeek | Jan 2026 | Collider-Bench: Benchmarking AI Agents with Particle Phy… | 0.000 |
Each row below marks a model that broke the previous record on acc-tau-0-33. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.
Higher scores win. Each subsequent entry improved upon the previous best.
Every paper below corresponds to at least one row in the leaderboard above. Click through for the arXiv preprint and, when available, the reference implementation.
Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.