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.

GPT-5
OpenAI
GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 telecom (96.7%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Gemma 2 27B
2024-06-27

GPT-5
OpenAI
2025-08-07
1 year newer
Performance Metrics
Context window and performance specifications

Gemma 2 27B

GPT-5
Average performance across 3 common benchmarks

Gemma 2 27B

GPT-5
Performance comparison across key benchmark categories

Gemma 2 27B

GPT-5
GPT-5
2024-09-30
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 27B

GPT-5
OpenAI
ZeroEval

Gemma 2 27B

GPT-5