Benchmark Almanac

SpatialBench-Long

Claude Opus 5.5 40.5% leads since Sep 2026 Not in model cards

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 Genomics and life sciences Public tasks plus a private test set Last model added Oct 2026 Scores refreshed 2 Nov 2026
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
Agent task Many steps in a terminal, browser, desktop, app, game or robot.
latchbio/spatialbench-long 2 stars Leaderboard benchmarks.bio
27
Models scored on its own leaderboard

2 models share the top score of 40.5%

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.

27 models. Scroll sideways for the rest.

  1. 40.5 Claude Opus 5.5
  2. 40.5 GPT-6.1 Terra
  3. 39.9 GPT-6.1 Sol
  4. 39.3 GPT-6 Astra
  5. 37.5 GPT-5.6 Sol
  6. 36.5 Claude Sonnet 5.5
  7. 33.3 Claude Opus 4.8
  8. 32.1 GPT-5.5
  9. 31.6 GPT-6 Sol
  10. 30.9 Claude Opus 5
  11. 29.8 Claude Opus 4.7
  12. 29.8 Gemini 3.7 Flash
  13. 29.8 Claude Fable 5.1
  14. 28.6 Gemini 3.8 Flash
  15. 28.6 Gemini 4 Argon
  16. 27.4 Grok 4.6
  17. 26.2 DeepSeek V4.1 Flash
  18. 25.0 GPT-5.6 Luna
  19. 24.4 Claude Sonnet 5
  20. 24.4 Grok 4.7
  21. 23.2 GPT-6 Luna
  22. 22.6 Claude Sonnet 4.6
  23. 22.6 Kimi K3
  24. 20.8 Mistral Large 4
  25. 18.4 GLM-5.3
  26. 15.9 Nemotron 3 Ultra
  27. 4.76 Nemotron 3.5 Lightning 30B-A3B
  1. 1 Claude Opus 5.5 LSVP 40.5%
  2. 2 GPT-6.1 Terra 40.5%
  3. 3 GPT-6.1 Sol 39.9%
  4. 4 GPT-6 Astra 39.3%
  5. 5 GPT-5.6 Sol 37.5%
  6. 6 Claude Sonnet 5.5 36.5%
  7. 7 Claude Opus 4.8 33.3%
  8. 8 GPT-5.5 32.1%
  9. 9 GPT-6 Sol 31.6%
  10. 10 Claude Opus 5 30.9%
  11. 11 Claude Opus 4.7 29.8%
  12. 12 Gemini 3.7 Flash 29.8%
  13. 13 Claude Fable 5.1 LSVP 29.8%
  14. 14 Gemini 3.8 Flash 28.6%
  15. 15 Gemini 4 Argon 28.6%
  16. 16 Grok 4.6 27.4%
  17. 17 DeepSeek V4.1 Flash 26.2%
  18. 18 GPT-5.6 Luna 25%
  19. 19 Claude Sonnet 5 24.4%
  20. 20 Grok 4.7 24.4%
  21. 21 GPT-6 Luna 23.2%
  22. 22 Claude Sonnet 4.6 22.6%
  23. 23 Kimi K3 22.6%
  24. 24 Mistral Large 4 20.8%
  25. 25 GLM-5.3 18.4%
  26. 26 Nemotron 3 Ultra 15.9%
  27. 27 Nemotron 3.5 Lightning 30B-A3B 4.76%
#ModelScoreSettingDateSource
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 Gemini 3.7 Flash 29.8% Pi Aug 2026 Official leaderboard
13 Claude Fable 5.1 29.8% LSVP, Pi Sep 2026 Official leaderboard
14 Gemini 3.8 Flash 28.6% Pi Sep 2026 Official leaderboard
15 Gemini 4 Argon 28.6% Pi Sep 2026 Official leaderboard
16 Grok 4.6 27.4% Grok Build Aug 2026 Official leaderboard
17 DeepSeek V4.1 Flash 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 Mistral Large 4 20.8% Pi Oct 2026 Official leaderboard
25 GLM-5.3 18.4% Pi Aug 2026 Official leaderboard
26 Nemotron 3 Ultra 15.9% Pi Jun 2026 Official leaderboard
27 Nemotron 3.5 Lightning 30B-A3B 4.76% Pi Aug 2026 Official leaderboard

5 models have held number one since its release in May 2026

Lab claims count from the day the card came out, independent runs from the model’s release.

OpenAI Anthropic
Own leaderboard 5 leaders
Claude Opus 5.5 40.5%

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Best so far
0% 20% 40% 60% 80% 100% 2026 2027 Near the ceiling (85%) Claude Opus 5.5 GPT-5.6 Sol Claude Opus 4.8 Claude Sonnet 4.6 0% 20% 40% 60% 80% 100% 2026 2027 Near the ceiling (85%) Claude Opus 5.5 Claude Opus 4.8

No lab model card reports it yet

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.

More in Biology and chemistry

All 96 in Biology and chemistry
  • SUPERChem In use Models solve 500 expert-written chemistry reasoning problems, offered in multimodal and text-only forms. Expert solution paths also allow a reasoning path score. Tencent Hy4 preview 66.4%
  • GeneBench Pro In use Agents analyze messy simulated genomics and biology datasets to estimate a decision-relevant quantity across 129 problems. Scored automatically against known answers. GPT-6 Astra 37.1%
  • LifeSciBench In use Models complete 750 expert-written life science research tasks, often with attached figures, tables, or sequence files. Graded against expert rubrics as score and pass rate. GPT-6 Astra 60.3%
  • MolecularIQ In use Models answer questions about molecular graphs, such as counting, indexing and constrained generation, and a symbolic checker verifies each answer. Intern-S2-397B 62.4%
  • TOMG-Bench In use Models generate molecules from natural language requests in three tasks: molecule editing, molecule optimization and customized generation. Each output is checked for validity and for meeting the requested properties. Intern-S2-397B 66.8%
  • BABE Fading Models reason from experimental results in peer-reviewed biology papers to draw conclusions, with causal and cross-scale inference. Seed2.0 Lite (0428) 57.9%