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TissueMicroscopyBench results

TissueMicroscopyBench tests whether AI agents can analyze real tissue microscopy images. Tasks include locating cells and structures, quantifying staining and morphology, and tracking changes over time and after treatment. Each pairs real image data with a specific analysis question and a verifiable answer. Refusals, errors and unfinished runs are failures.

Published score: Current V1 evaluation set (49 evaluations) · short horizon · data updated 2026-11-10

Compare current model-and-harness results for TissueMicroscopyBench. TissueMicroscopyBench tests whether AI agents can analyze real tissue microscopy images. Tasks include locating cells and structures, quantifying staining and morphology, and tracking changes over time and after treatment. Each pairs real image data with a specific analysis question and a verifiable answer. Refusals, errors and unfinished runs are failures. Current V1 covers 49 evaluations and 30 ranked configurations. Data updated 2026-11-10. The highest-ranked published configurations are Claude Fable 5.2* (Pi, LSVP, 34.0%); Claude Fable 5.2* (Claude Code, LSVP, 32.6%); Claude Opus 5.5* (Pi, LSVP, 29.3%). The highest-ranked published run without an LSVP exemption is GPT-6.1 Terra (Pi, 25.9%). Scores report benchmark-specific biological task performance on a 0–100 percentage scale. See the linked paper and repository for task construction, grading and uncertainty methodology. Results describe the complete model and agent harness used for each run, and are not comparable across different benchmarks or evaluation versions. 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.

Published TissueMicroscopyBench scores
RankModelHarnessProviderScoreVariant
1Claude Fable 5.2*PiAnthropic34.0%LSVP
2Claude Fable 5.2*Claude CodeAnthropic32.6%LSVP
3Claude Opus 5.5*PiAnthropic29.3%LSVP
4Claude Sonnet 5.5*PiAnthropic27.9%LSVP
5Claude Opus 5.5*Claude CodeAnthropic25.9%LSVP
6GPT-6.1 TerraPiOpenAI25.9%
7Claude Fable 5.1*PiAnthropic24.5%LSVP
8Claude Sonnet 5.5*Claude CodeAnthropic24.5%LSVP
9GPT-6.1 SolPiOpenAI22.4%
10Gemini 4 ArgonPiGoogle21.8%
11GPT-6 AstraPiOpenAI19.7%
12Claude Fable 5.1*Claude CodeAnthropic17.0%LSVP
13Claude Opus 5*Claude CodeAnthropic15.7%LSVP
14Claude Opus 5*PiAnthropic14.3%LSVP
15Grok 4.7PiSpaceXAI6.8%
16Grok 4.7Grok BuildSpaceXAI5.4%
17Grok 4.6Grok BuildSpaceXAI4.1%
18Gemini 3.8 FlashPiGoogle3.4%
19DeepSeek V4.1 FlashPiDeepSeek2.7%
20Grok 4.6PiSpaceXAI2.7%
21Claude Sonnet 5*Claude CodeAnthropic2.0%LSVP
22GPT-5.6 SolPiOpenAI2.0%
23Mistral Large 4.0PiMistral2.0%
24Claude Sonnet 5*PiAnthropic1.4%LSVP
25GLM 5.3PiZ.ai1.4%
26GPT-6 LunaPiOpenAI1.4%
27GPT-5.6 LunaPiOpenAI0.7%
28Kimi K3PiMoonshot0.7%
29Nemotron 3 Ultra 550B A55BPiNVIDIA0.0%
30Nemotron 3.5 LightningPiNVIDIA0.0%

LSVP access

Anthropic's Life Sciences Verification Program accepts interest from verified life sciences organizations using Claude Team, Enterprise or the first-party API. Eligibility, supported models and grant types are determined by Anthropic. Program access does not establish equivalence to every benchmark evaluation variant. Guidance checked 2026-11-10. Anthropic eligibility guidance · Register organizational interest.

Methodology and provenance

Scores use a 0–100 percentage scale. Publication links are not yet available.

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.