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Mathematics

Cascade Routing

Per-(model x item) binary correctness released with the ICML 2025 paper "A Unified Approach to Routing and Cascading for LLMs", spanning SWE-Bench, Minerva Math, LiveCodeBench, ARC-Challenge, MMLU-Pro, MixEval and GSM8k.

16,552items
32subjects
40%observed
apache-2.0license
software_engineeringdomain
mathematicsdomain
knowledgedomain
reasoningdomain
textmodality

Response matrix

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

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

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo0.8184
  2. 2Qwen/Qwen2.5-72B-Instruct-Turbo0.7912
  3. 3meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo0.7596
  4. 4Qwen/Qwen2.5-7B-Instruct-Turbo0.7068
  5. 5mistralai/Mixtral-8x22B-Instruct-v0.10.6898
  6. 6google/gemma-2-27b-it0.6828
  7. 7google/gemma-2-9b-it0.6443
  8. 8meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo0.6247
  9. 9mistralai/Mixtral-8x7B-Instruct-v0.10.5857
  10. 1020241202_agentless-1.5_claude-3.5-sonnet-202410220.5091
  11. 1120241106_navie-2-gpt4o-sonnet0.4883
  12. 12mistralai/Mistral-7B-Instruct-v0.30.4875
  13. 1320240824_gru0.4569
  14. 14Qwen2.5-Coder-7B-Ins0.4078
  15. 1520241029_epam-ai-run-claude-3-5-sonnet0.3995
  16. 1620241028_agentless-1.5_gpt4o0.3916
  17. 17Qwen2.5-Math-1.5B-Ins0.3764
  18. 18Qwen2.5-Math-7B-Ins0.372
  19. 19microsoft/Phi-3.5-mini-instruct0.3699
  20. 20Qwen/Qwen2.5-3B-Instruct0.3648
  21. 2120241007_nfactorial0.3368
  22. 22Qwen/Qwen2.5-1.5B-Instruct0.3233
  23. 2320241016_epam-ai-run-gpt-4o0.2898
  24. 2420241001_nfactorial0.2585
  25. 2520240820_epam-ai-run-gpt-4o0.2454
  26. 26Qwen/Qwen2.5-0.5B-Instruct0.2167
  27. 27google/gemma-2b-it0.185
  28. 2820240620_sweagent_claude3.5sonnet0.1816
  29. 29Qwen2.5-Coder-1.5B-Ins0.1703
  30. 3020240402_sweagent_gpt40.1259
  31. 3120240728_sweagent_gpt4o0.1241
  32. 3220240402_sweagent_claude3opus0.0926