Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 2 27B
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

IBM Granite 4.0 Tiny Preview
IBM
IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

Gemma 2 27B
2024-06-27

IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
10 months newer
Average performance across 3 common benchmarks

Gemma 2 27B

IBM Granite 4.0 Tiny Preview
Performance comparison across key benchmark categories

Gemma 2 27B

IBM Granite 4.0 Tiny Preview
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 27B

IBM Granite 4.0 Tiny Preview

Gemma 2 27B

IBM Granite 4.0 Tiny Preview