Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
Commonsense MCQ on Global-PIQA
Loading...
80.69
Accuracy
standard cascade
47.7532
56.3041
64.855
73.4059
Jun 25, 2026
Accuracy
Updated 29d ago
Evaluation Results
Method
Method
Links
Accuracy
standard cascade
Model=GPT-4o-mini
2026.06
80.69
context-aware cascade
Model=GPT-4o-mini
2026.06
76.95
context-aware cascade
Model=Llama-3.1-8B-Ins...
2026.06
66.24
standard cascade
Model=Llama-3.1-8B-Ins...
2026.06
65.6
end-to-end
Model=Llama-3.1-8B-Ins...
2026.06
61.95
context-aware cascade
Model=Mistral-7B-Instr...
2026.06
59.11
standard cascade
Model=Mistral-7B-Instr...
2026.06
51.72
end-to-end
Model=Mistral-7B-Instr...
2026.06
50.6
end-to-end
Model=GPT-4o-mini
2026.06
49.02
Feedback
Search any
task
Search any
task