Medicine

MTBBench

MTBBench evaluates multimodal LLMs on sequential clinical decision-making in oncology. Two cohorts: HANCOCK (multimodal pathology — TMA images, H&E slides, cell density) and MSK-CHORD (longitudinal genomics — genomic profiles, clinical timelines). Models act as agentic AI physicians, optionally using external tools (DrugBank, CONCH, PubMed). Each case contains multiple multi-choice questions; correctness is binary (matched vs. ground truth).

516items
23subjects
MITlicense
medicinedomain
agents_and_tool_usedomain
textmodality
imagemodality
item-level responses released
Saturation status: Unknown

Response matrix

Fit to width. Hover for subject & item; click a cell for details.

MTBBench response matrix: AI models (rows) against items (columns)
Correct (1)Incorrect (0)Unobserved

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1qwen3-32b-with-tools0.6995
  2. 2qwen3-32b0.6831
  3. 3llama33-70b-with-tools0.6721
  4. 4internvl3-78b0.6718
  5. 5llama33-70b0.6667
  6. 6gpt4o0.6597
  7. 7gemma3-12b-with-tools0.6527
  8. 8mistrallsmall0.6462
  9. 9internvl3-38b-with-tools0.641
  10. 10o4-mini0.6283
  11. 11gemma3-27b-with-tools0.6195
  12. 12llama90b0.6187
  13. 13internvl3-38b0.6154
  14. 14qwen25-32b-with-tools0.6154
  15. 15gemma3-12b0.6003
  16. 16qwen25-32b0.6
  17. 17qwen3-8b-with-tools0.5902
  18. 18llama31-8b-with-tools0.5683
  19. 19qwen3-8b0.5683
  20. 20qwen25-7b-with-tools0.5641
  21. 21gemma3-27b0.5567
  22. 22llama31-8b0.5246
  23. 23qwen25-7b0.4897