50+ real-world biological data-analysis scenarios with ~300 open-answer questions designed to measure LLM agents on long, multi-step analytical trajectories.
2 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.
| # | Model | Org | Submitted | Paper / code | accuracy |
|---|---|---|---|---|---|
| 01 | GPT-4oAPI | OpenAI | Feb 2025 | BixBench: a Comprehensive Benchmark for LLM-based Agents… | 17 |
| 02 | Claude 3.5 SonnetAPI | Anthropic | Feb 2025 | BixBench: a Comprehensive Benchmark for LLM-based Agents… | 17 |
Each row below marks a model that broke the previous record on accuracy. 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.