Note: Overall leaderboard rankings may not reflect true model quality — individual benchmarks give a clearer picture. ARC-Challenge MMLU GPQA GSM8K Artificial Analysis Intelligence Index v4.0
← Back to leaderboard

HumanEvalFix(Python)

2 models

Top 5 Models Performance

IBM Granite: Granite-34B-Code-Instruct-8K ######################################## 54.9
IBM Granite: Granite-20B-Code-Instruct-8K ################################ 43.9
970 – 1.1T
2019 – 2026
Rank Model Score
🇺🇸 1 IBM Granite: Granite-34B-Code-Instruct-8K 54.9
🇺🇸 2 IBM Granite: Granite-20B-Code-Instruct-8K 43.9