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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.

OpenAI

GPT-5 Codex

OpenAI

GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). Released in 2025, it represents OpenAI's latest advancement in AI technology.

Google

Gemma 2 27B

Google

2024-06-27

OpenAI

GPT-5 Codex

OpenAI

2025-09-15

1 year newer

Performance comparison across key benchmark categories

Google

Gemma 2 27B

general
70.0%
OpenAI

GPT-5 Codex

general
+4.5%
74.5%
Knowledge Cutoff
Training data recency comparison

GPT-5 Codex

2024-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 27B

0 providers
OpenAI

GPT-5 Codex

0 providers
Google

Gemma 2 27B

Avg Score:0.0%
Providers:0
OpenAI

GPT-5 Codex

Avg Score:0.0%
Providers:0