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
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HumanEvalSynthesis(Python)

2 models

Top 5 Models Performance

IBM Granite: Granite-34B-Code-Instruct-8K ######################################## 62.2
IBM Granite: Granite-20B-Code-Instruct-8K ####################################### 60.4
– 970 – 1.1T
– 2019 – 2026
Rank Model Score
🇺🇸 1 IBM Granite: Granite-34B-Code-Instruct-8K 62.2
🇺🇸 2 IBM Granite: Granite-20B-Code-Instruct-8K 60.4