This page reports published TxBench-Oligo-Discovery scores from benchmarks.bio. TxBench-Oligo-Discovery contains 113 evaluations built from real experimental data, each one graded deterministically against the biological result the original analysis reached, so a run counts as a pass only when the agent recovers that result rather than when it produces plausible-looking output. Results are reported per model and per harness rather than per model alone, because the harness an agent runs under changes its score substantially. Scores use a 0-100 percentage scale and are not comparable across benchmarks; see the linked repository and paper for task construction, grading, and confidence-interval methodology.
| Rank | Model | Harness | Provider | Score |
|---|---|---|---|---|
| 1 | GPT-6 Astra | Codex | OpenAI | 55.5% |
| 2 | GPT-6 Astra | Pi | OpenAI | 53.4% |
| 3 | Claude Opus 5 | Claude Code | Anthropic | 48.1% |
| 4 | Grok 4.6 | Pi | SpaceXAI | 44.0% |
| 5 | Grok 4.6 | Grok Build | SpaceXAI | 42.8% |
| 6 | Claude Opus 5 | Pi | Anthropic | 42.2% |
| 7 | Claude Opus 4.8 | Claude Code | Anthropic | 39.9% |
| 8 | Gemini 3.7 Flash | Pi | 39.5% | |
| 9 | Claude Opus 4.8 | Pi | Anthropic | 39.4% |
| 10 | Claude Sonnet 5 | Claude Code | Anthropic | 39.3% |
| 11 | Gemini 3.5 Flash | Pi | 38.6% | |
| 12 | Grok 4.5 | Pi | SpaceXAI | 38.4% |
| 13 | GPT-5.6 Sol | Codex | OpenAI | 34.5% |
| 14 | DeepSeek V4.1 Flash | Pi | DeepSeek | 33.9% |
| 15 | GPT-5.5 | Pi | OpenAI | 33.6% |
| 16 | GPT-5.6 Terra | Pi | OpenAI | 33.3% |
| 17 | GPT-5.6 Terra | Codex | OpenAI | 32.5% |
| 18 | GPT-5.5 | Codex | OpenAI | 30.4% |
| 19 | GPT-5.6 Luna | Codex | OpenAI | 23.9% |
| 20 | GPT-5.6 Luna | Pi | OpenAI | 23.3% |
Methodology and provenance
Scores use a 0–100 percentage scale. See Paper PDF, Original publication, Repository for task construction, grading, aggregation, and uncertainty details.