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# NeuroscienceBench results

> NeuroscienceBench tests whether AI agents can reach correct scientific conclusions from neuroscience research data, across sequencing, electrophysiology, optical physiology, EEG, brain-computer interface decoding, cell and tissue imaging, behavioral scoring and clinical biomarkers. Scores are the share of graded runs that reach the correct conclusion. Refusals, timeouts and harness errors are not graded and leave the denominator.

Data updated: 2026-11-08

Artifact generated: 2026-11-09T17:43:49.549Z

- Domain: Basic Research
- Horizon: short
- Assessment: Capabilities
- Published score scope: Current V1 evaluation set (91 evaluations)

Scores use a 0–100 percentage scale. Consult the repository and paper for benchmark-specific task construction, grading, aggregation, and uncertainty methodology. Results compare model-and-harness combinations.

LSVP: Anthropic's safety-filter-exempt evaluation variant, which produces fewer refusals on biology prompts. LSVP results are reported alongside the model's standard run and are not a replacement for it.

| Rank | Model | Harness | Provider | Score | Variant |
| ---: | --- | --- | --- | ---: | --- |
| 1 | Claude Opus 5.5* | Pi | Anthropic | 32.2% | LSVP |
| 2 | Claude Opus 5* | Pi | Anthropic | 30.8% | LSVP |
| 3 | Claude Opus 5.5* | Claude Code | Anthropic | 29.7% | LSVP |
| 4 | Claude Sonnet 5.5* | Claude Code | Anthropic | 29.7% | LSVP |
| 5 | Claude Fable 5.1* | Pi | Anthropic | 28.4% | LSVP |
| 6 | Grok 4.7 | Grok Build | SpaceXAI | 27.5% |  |
| 7 | Claude Sonnet 5.5* | Pi | Anthropic | 27.1% | LSVP |
| 8 | Claude Opus 5* | Claude Code | Anthropic | 25.6% | LSVP |
| 9 | Claude Fable 5.1* | Claude Code | Anthropic | 23.8% | LSVP |
| 10 | Grok 4.7 | Pi | SpaceXAI | 23.4% |  |
| 11 | GPT-6 Astra | Pi | OpenAI | 22.7% |  |
| 12 | GPT-6.1 Terra | Pi | OpenAI | 22.3% |  |
| 13 | GPT-6.1 Sol | Pi | OpenAI | 22.0% |  |
| 14 | DeepSeek V4.1 Flash | Pi | DeepSeek | 22.0% |  |
| 15 | GPT-6 Luna | Codex | OpenAI | 21.5% |  |
| 16 | Grok 4.6 | Grok Build | SpaceXAI | 21.2% |  |
| 17 | GPT-6 Astra | Codex | OpenAI | 20.5% |  |
| 18 | Grok 4.6 | Pi | SpaceXAI | 20.5% |  |
| 19 | GPT-6 Luna | Pi | OpenAI | 20.4% |  |
| 20 | GPT-6.1 Sol | Codex | OpenAI | 20.1% |  |
| 21 | GPT-6.1 Terra | Codex | OpenAI | 20.1% |  |
| 22 | Claude Sonnet 5* | Pi | Anthropic | 19.4% | LSVP |
| 23 | Mistral Large 4.0 | Pi | Mistral | 19.4% |  |
| 24 | Gemini 4 Argon | Pi | Google | 19.1% |  |
| 25 | Claude Sonnet 5* | Claude Code | Anthropic | 18.7% | LSVP |
| 26 | GLM 5.3 | Pi | Z.ai | 16.5% |  |
| 27 | Kimi K3 | Pi | Moonshot | 16.5% |  |
| 28 | Gemini 3.8 Flash | Pi | Google | 15.8% |  |
| 29 | GPT-5.6 Sol | Codex | OpenAI | 15.8% |  |
| 30 | GPT-5.6 Luna | Pi | OpenAI | 15.0% |  |
| 31 | GPT-5.6 Sol | Pi | OpenAI | 13.9% |  |
| 32 | GPT-5.6 Luna | Codex | OpenAI | 12.5% |  |
| 33 | Nemotron 3 Ultra 550B A55B | Pi | NVIDIA | 12.1% |  |
| 34 | Nemotron 3.5 Lightning | Pi | NVIDIA | 7.7% |  |

## Sources and downloads

- [Repository](https://github.com/latchbio/neurobench)
- [Interactive benchmark](https://benchmarks.bio/neuroscience)
- [JSON](https://benchmarks.bio/benchmarks/neurosciencebench/latest.json)
- [CSV](https://benchmarks.bio/benchmarks/neurosciencebench/latest.csv)
- [Current V1 cross-benchmark leaderboard](https://benchmarks.bio/results/v1/)