Model Comparison

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

Google

Gemma 2 27B

Google

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

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.

Google

Gemma 2 27B

Google

2024-06-27

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

10 months newer

Average performance across 3 common benchmarks

Google

Gemma 2 27B

Average Score:67.0%
IBM

IBM Granite 4.0 Tiny Preview

+4.0%
Average Score:71.0%

Performance comparison across key benchmark categories

Google

Gemma 2 27B

math
58.1%
general
+20.3%
70.0%
code
56.5%
IBM

IBM Granite 4.0 Tiny Preview

math
+11.9%
70.1%
general
49.7%
code
+8.2%
64.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 27B

0 providers
IBM

IBM Granite 4.0 Tiny Preview

0 providers
Google

Gemma 2 27B

Avg Score:67.0%
Providers:0
IBM

IBM Granite 4.0 Tiny Preview

+4.0%
Avg Score:71.0%
Providers:0