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

Gemini 1.0 Pro
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

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.

Gemini 1.0 Pro
2024-02-15

Gemma 2 27B
2024-06-27
4 months newer
Performance Metrics
Context window and performance specifications

Gemini 1.0 Pro

Gemma 2 27B
Average performance across 3 common benchmarks

Gemini 1.0 Pro

Gemma 2 27B
Performance comparison across key benchmark categories

Gemini 1.0 Pro

Gemma 2 27B
Gemini 1.0 Pro
2024-02-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.0 Pro

Gemma 2 27B

Gemini 1.0 Pro

Gemma 2 27B