Anthropic biomedical-image-analysis evaluation (Biomedical image analysis)
We show this table for reference; we do not rank on it.
Quantitative biomedical image analysis across segmentation, detection, measurement, classification, registration, reconstruction, and tracking tasks.
Benchmark score on Biomedical image analysis — November 13, 2026
We compile the Biomedical image analysis rows from provider self-reports. Claude Mythos 5.2 leads the table at 80.7%, followed by GPT-6 Astra (77.5%) and Claude Sonnet 5.5 (72.2%). We do not use these results to rank models overall.
Claude Mythos 5.2
Anthropic
Reported by AnthropicGPT-6 Astra
OpenAI
Lab-reported, from another publisher’s documentClaude Sonnet 5.5
Anthropic
Reported by Anthropic4 modelsMultimodal & GroundedCurrentDisplay onlyUpdated November 13, 2026
Benchmark score table (4 models)
None of the 4 results on this page has a documented run by the benchmark or an independent evaluator: 3 reported by the labs that built the models and 1 reported in another publisher’s document.
| Rank | Model / configuration | Score | Who ran it | Parameters (B) | Open / closed |
|---|---|---|---|---|---|
| 1 | Claude Mythos 5.2AnthropicReported by Anthropic | 80.7% | Reported by Anthropic | Not reported | Closed |
| 2 | GPT-6 AstraOpenAILab-reported, from another publisher’s document | 77.5% | Lab-reported, from another publisher’s document | Not reported | Closed |
| 3 | Claude Sonnet 5.5AnthropicReported by Anthropic | 72.2% | Reported by Anthropic | Not reported | Closed |
| 4 | Claude Opus 5.5AnthropicReported by Anthropic | 71.4% | Reported by Anthropic | Not reported | Closed |
- Lab-reported
- Benchmark-run
- Independent
Among the reported Biomedical image analysis rows, Claude Mythos 5.2 is first at 80.7%. The third row is 8.5 points behind. The broader top-10 range is 9.3 points, so many of the published results sit in a relatively narrow band.
4 models have been evaluated on Biomedical image analysis. The benchmark falls in the Multimodal & Grounded category. Biomedical image analysis is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Biomedical image analysis
Year
2026
Tasks
91 cases across 31 biomedical imaging tasks
Format
Normalized task metric
Difficulty
Biomedical image analysis
Section 8.17.7 reports a provider-run evaluation over 91 cases from 31 public biomedical imaging tasks, normalized against a baseline and the best published competition result. It is display-only evidence.
Freshness and provenance
Version
Biomedical image analysis 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does Biomedical image analysis measure?
Quantitative biomedical image analysis across segmentation, detection, measurement, classification, registration, reconstruction, and tracking tasks.
Which model scores highest on Biomedical image analysis?
Claude Mythos 5.2 by Anthropic currently leads with a score of 80.7% on Biomedical image analysis.
How many models are evaluated on Biomedical image analysis?
4 AI models have published results on Biomedical image analysis in the BenchLM catalog.
Compare top models on Biomedical image analysis
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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