LatchBio Capabilities v1.0
LatchBio cross-benchmark suite of agentic biological data analysis (transcriptomics, epigenomics, variants, pharmacology) with deterministic graders.
The V1 Capabilities score on benchmarks.bio is a weighted mean of 13 LatchBio benchmarks. They are the SpatialBench, scBench, EpiBench, VariantBench, MetagenomicsBench, TxBench, BioSecBench and OncologyBench sets. Legacy V0 scores are not comparable with V1. Fireworks lists the suite as BioBench.
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
Claude Opus 5.5 leads with 58%
Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best.
- 58.0 Claude Opus 5.5
- 54.2 Claude Sonnet 5.5
- 53.0 Claude Fable 5.1
- 52.4
Gemini 4 Argon
- 51.3 GPT-6 Astra
- 50.6 GPT-6.1 Sol
- 50.0 Claude Opus 5
- 47.4 Grok 4.6
- 47.4 Grok 4.7
- 46.7 GPT-6 Sol
- 45.3 Claude Opus 4.8
- 43.4 GPT-6.1 Terra
- 43.3 GPT-5.6 Sol
- 42.1
DeepSeek V4.1 Flash
- 41.9 GPT-5.5
- 40.9 Claude Sonnet 5
- 40.8
Gemini 3.7 Flash
- 38.6 Claude Opus 4.7
- 37.7
Gemini 3.8 Flash
- 37.2 GPT-6 Luna
- 36.4 Kimi K3
- 34.9
Mistral Large 4
- 33.6 GLM-5.3
- 33.5 GPT-5.6 Luna
- 31.5 Claude Sonnet 4.6
- 24.2
Nemotron 3 Ultra
- 14.4
Nemotron 3.5 Lightning 30B-A3B
- 1 Claude Opus 5.5 LSVP 58%
- 2 Claude Sonnet 5.5 54.2%
- 3 Claude Fable 5.1 LSVP 53%
- 4
Gemini 4 Argon 52.4%
- 5 GPT-6 Astra 51.3%
- 6 GPT-6.1 Sol 50.6%
- 7 Claude Opus 5 50%
- 8 Grok 4.6 47.4%
- 9 Grok 4.7 47.4%
- 10 GPT-6 Sol 46.7%
- 11 Claude Opus 4.8 45.3%
- 12 GPT-6.1 Terra 43.4%
- 13 GPT-5.6 Sol 43.3%
- 14
DeepSeek V4.1 Flash 42.1%
- 15 GPT-5.5 41.9%
- 16 Claude Sonnet 5 40.9%
- 17
Gemini 3.7 Flash 40.8%
- 18 Claude Opus 4.7 38.6%
- 19
Gemini 3.8 Flash 37.7%
- 20 GPT-6 Luna 37.2%
- 21 Kimi K3 36.4%
- 22
Mistral Large 4 34.9%
- 23 GLM-5.3 33.6%
- 24 GPT-5.6 Luna 33.5%
- 25 Claude Sonnet 4.6 31.5%
- 26
Nemotron 3 Ultra 24.2%
- 27
Nemotron 3.5 Lightning 30B-A3B 14.4%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5.5 | 58% | LSVP, Pi | Sep 2026 | Official leaderboard |
| 2 | Claude Sonnet 5.5 | 54.2% | Pi | Sep 2026 | Official leaderboard |
| 3 | Claude Fable 5.1 | 53% | LSVP, Pi | Sep 2026 | Official leaderboard |
| 4 | | 52.4% | Pi | Sep 2026 | Official leaderboard |
| 5 | GPT-6 Astra | 51.3% | Pi | Sep 2026 | Official leaderboard |
| 6 | GPT-6.1 Sol | 50.6% | Pi | Sep 2026 | Official leaderboard |
| 7 | Claude Opus 5 | 50% | Pi | Jul 2026 | Official leaderboard |
| 8 | Grok 4.6 | 47.4% | Pi | Aug 2026 | Official leaderboard |
| 9 | Grok 4.7 | 47.4% | Pi | Sep 2026 | Official leaderboard |
| 10 | GPT-6 Sol | 46.7% | Pi | Sep 2026 | Official leaderboard |
| 11 | Claude Opus 4.8 | 45.3% | Pi | May 2026 | Official leaderboard |
| 12 | GPT-6.1 Terra | 43.4% | Pi | Oct 2026 | Official leaderboard |
| 13 | GPT-5.6 Sol | 43.3% | Pi | Jul 2026 | Official leaderboard |
| 14 | | 42.1% | Pi | Sep 2026 | Official leaderboard |
| 15 | GPT-5.5 | 41.9% | Pi | Apr 2026 | Official leaderboard |
| 16 | Claude Sonnet 5 | 40.9% | Pi | Jun 2026 | Official leaderboard |
| 17 | | 40.8% | Pi | Aug 2026 | Official leaderboard |
| 18 | Claude Opus 4.7 | 38.6% | Pi | Apr 2026 | Official leaderboard |
| 19 | | 37.7% | Pi | Sep 2026 | Official leaderboard |
| 20 | GPT-6 Luna | 37.2% | Pi | Sep 2026 | Official leaderboard |
| 21 | Kimi K3 | 36.4% | Pi | Jul 2026 | Official leaderboard |
| 22 | | 34.9% | Pi | Oct 2026 | Official leaderboard |
| 23 | GLM-5.3 | 33.6% | Pi | Aug 2026 | Official leaderboard |
| 24 | GPT-5.6 Luna | 33.5% | Codex | Jul 2026 | Official leaderboard |
| 25 | Claude Sonnet 4.6 | 31.5% | Pi | Feb 2026 | Official leaderboard |
| 26 | | 24.2% | Pi | Jun 2026 | Official leaderboard |
| 27 | | 14.4% | Pi | Aug 2026 | Official leaderboard |
Labs report scores for 1 model in their cards. We plot every source in the charts below.
7 models have held number one since its release in Jan 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 21 Sep 2026 | Grok 4.7 model card | 44.5 | LatchBio Capabilities v1.0, overall score (mean of 11 capability benchmarks), xhigh (5.2) | Capabilities |
More in Science and reasoning
- GPQA Diamond In use 198 graduate-level 'Google-proof' multiple-choice questions in biology, chemistry and physics.
Gemini 4 Argon 96.4%
- Terminal-Bench-Science In use 70 scientific research-workflow tasks across five science areas, run in Harbor containers. Hidden tests give the resolution rate. GPT-6 Astra 68.1%
- FrontierScience In use Models solve physics, chemistry, and biology problems in an Olympiad track graded by short answer and a Research track graded by 10-point rubrics.
Intern-S2-397B 87%
- BioMysteryBench In use Bioinformatics problems on anonymized real datasets that require real analysis with tools. Rubric-graded, with human-solvable and human-difficult splits. Claude Opus 5 90.1%
- HiPhO In use Models solve theory problems from 2024 and 2025 physics olympiad exams, some with diagrams. Official marking schemes grade answers and steps, mapped to medal levels.
Gemini 3 Pro 78.3%
- LABBench2 In use 11 biology research sub-tasks (literature, figures, tables, patents, trials and more) with tool access. Macro-averaged accuracy. GPT-5.2 60.9%