SpatialBench-Long
Agents run long, multi-step analyses of real spatial biology datasets that need sustained biological reasoning.
Part of LatchBio's BioBench suite on benchmarks.bio. The V1 set has 21 evaluations. Release month is the GitHub repo creation month.
- Made by
- LatchBio
- Released
- May 2026
- Kind
- Genomics and life sciences
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Public, plus a private test set
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
2 models share the top score of 40.5%
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best.
- 40.5 Claude Opus 5.5
- 40.5 GPT-6.1 Terra
- 39.9 GPT-6.1 Sol
- 39.3 GPT-6 Astra
- 37.5 GPT-5.6 Sol
- 36.5 Claude Sonnet 5.5
- 33.3 Claude Opus 4.8
- 32.1 GPT-5.5
- 31.6 GPT-6 Sol
- 30.9 Claude Opus 5
- 29.8 Claude Opus 4.7
- 29.8
Gemini 3.7 Flash
- 29.8 Claude Fable 5.1
- 28.6
Gemini 3.8 Flash
- 28.6
Gemini 4 Argon
- 27.4 Grok 4.6
- 26.2
DeepSeek V4.1 Flash
- 25.0 GPT-5.6 Luna
- 24.4 Claude Sonnet 5
- 24.4 Grok 4.7
- 23.2 GPT-6 Luna
- 22.6 Claude Sonnet 4.6
- 22.6 Kimi K3
- 20.8
Mistral Large 4
- 18.4 GLM-5.3
- 15.9
Nemotron 3 Ultra
- 4.76
Nemotron 3.5 Lightning 30B-A3B
- 1 Claude Opus 5.5 LSVP 40.5%
- 2 GPT-6.1 Terra 40.5%
- 3 GPT-6.1 Sol 39.9%
- 4 GPT-6 Astra 39.3%
- 5 GPT-5.6 Sol 37.5%
- 6 Claude Sonnet 5.5 36.5%
- 7 Claude Opus 4.8 33.3%
- 8 GPT-5.5 32.1%
- 9 GPT-6 Sol 31.6%
- 10 Claude Opus 5 30.9%
- 11 Claude Opus 4.7 29.8%
- 12
Gemini 3.7 Flash 29.8%
- 13 Claude Fable 5.1 LSVP 29.8%
- 14
Gemini 3.8 Flash 28.6%
- 15
Gemini 4 Argon 28.6%
- 16 Grok 4.6 27.4%
- 17
DeepSeek V4.1 Flash 26.2%
- 18 GPT-5.6 Luna 25%
- 19 Claude Sonnet 5 24.4%
- 20 Grok 4.7 24.4%
- 21 GPT-6 Luna 23.2%
- 22 Claude Sonnet 4.6 22.6%
- 23 Kimi K3 22.6%
- 24
Mistral Large 4 20.8%
- 25 GLM-5.3 18.4%
- 26
Nemotron 3 Ultra 15.9%
- 27
Nemotron 3.5 Lightning 30B-A3B 4.76%
Source: Official SpatialBench-Long leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5.5 | 40.5% | LSVP, Claude Code | Sep 2026 | Official leaderboard |
| 2 | GPT-6.1 Terra | 40.5% | Pi | Oct 2026 | Official leaderboard |
| 3 | GPT-6.1 Sol | 39.9% | Codex | Sep 2026 | Official leaderboard |
| 4 | GPT-6 Astra | 39.3% | Codex | Sep 2026 | Official leaderboard |
| 5 | GPT-5.6 Sol | 37.5% | Pi | Jul 2026 | Official leaderboard |
| 6 | Claude Sonnet 5.5 | 36.5% | Claude Code | Sep 2026 | Official leaderboard |
| 7 | Claude Opus 4.8 | 33.3% | Pi | May 2026 | Official leaderboard |
| 8 | GPT-5.5 | 32.1% | Pi | Apr 2026 | Official leaderboard |
| 9 | GPT-6 Sol | 31.6% | Pi | Sep 2026 | Official leaderboard |
| 10 | Claude Opus 5 | 30.9% | Claude Code | Jul 2026 | Official leaderboard |
| 11 | Claude Opus 4.7 | 29.8% | Claude Code | Apr 2026 | Official leaderboard |
| 12 | | 29.8% | Pi | Aug 2026 | Official leaderboard |
| 13 | Claude Fable 5.1 | 29.8% | LSVP, Pi | Sep 2026 | Official leaderboard |
| 14 | | 28.6% | Pi | Sep 2026 | Official leaderboard |
| 15 | | 28.6% | Pi | Sep 2026 | Official leaderboard |
| 16 | Grok 4.6 | 27.4% | Grok Build | Aug 2026 | Official leaderboard |
| 17 | | 26.2% | Pi | Sep 2026 | Official leaderboard |
| 18 | GPT-5.6 Luna | 25% | Codex | Jul 2026 | Official leaderboard |
| 19 | Claude Sonnet 5 | 24.4% | Pi | Jun 2026 | Official leaderboard |
| 20 | Grok 4.7 | 24.4% | Pi | Sep 2026 | Official leaderboard |
| 21 | GPT-6 Luna | 23.2% | Pi | Sep 2026 | Official leaderboard |
| 22 | Claude Sonnet 4.6 | 22.6% | Pi | Feb 2026 | Official leaderboard |
| 23 | Kimi K3 | 22.6% | Pi | Jul 2026 | Official leaderboard |
| 24 | | 20.8% | Pi | Oct 2026 | Official leaderboard |
| 25 | GLM-5.3 | 18.4% | Pi | Aug 2026 | Official leaderboard |
| 26 | | 15.9% | Pi | Jun 2026 | Official leaderboard |
| 27 | | 4.76% | Pi | Aug 2026 | Official leaderboard |
5 models have held number one on the official leaderboard since its release in May 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official SpatialBench-Long leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official SpatialBench-Long leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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