Preference

MT-Bench

MT-Bench GPT-4 single-answer judgment scores (34 models, 80 questions, 2 turns).

160items
34subjects
CC-BY-4.0license
preferencedomain
textmodality
item-level responses released
Saturation status: Unknown

Response matrix

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

MT-Bench response matrix: AI models (rows) against items (columns)
lowhighUnobserved

Scale: {1, 2, ..., 10}

Subjects

  1. 1gpt-48.9906
  2. 2gpt-3.5-turbo7.9437
  3. 3claude-instant-v17.9057
  4. 4claude-v17.9
  5. 5vicuna-33b-v1.37.1219
  6. 6wizardlm-30b7.0094
  7. 7Llama-2-70b-chat6.8563
  8. 8Llama-2-13b-chat6.65
  9. 9guanaco-33b6.5281
  10. 10tulu-30b6.4344
  11. 11guanaco-65b6.4094
  12. 12oasst-sft-7-llama-30b6.4094
  13. 13palm-2-chat-bison-0016.4
  14. 14mpt-30b-chat6.3937
  15. 15vicuna-13b-v1.36.3875
  16. 16wizardlm-13b6.3531
  17. 17Llama-2-7b-chat6.2687
  18. 18vicuna-7b-v1.35.9969
  19. 19baize-v2-13b5.75
  20. 20nous-hermes-13b5.5535
  21. 21mpt-7b-chat5.4591
  22. 22gpt4all-13b-snoozy5.4528
  23. 23koala-13b5.35
  24. 24mpt-30b-instruct5.2188
  25. 25falcon-40b-instruct5.1688
  26. 26h2ogpt-oasst-open-llama-13b4.625
  27. 27alpaca-13b4.5312
  28. 28chatglm-6b4.5
  29. 29oasst-sft-4-pythia-12b4.3187
  30. 30rwkv-4-raven-14b3.9844
  31. 31dolly-v2-12b3.275
  32. 32fastchat-t5-3b3.0406
  33. 33stablelm-tuned-alpha-7b2.7531
  34. 34llama-13b2.6063