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

Gemma 3n E4B
Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

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.

Gemma 3n E4B
2025-06-26

GPT-5 Codex
OpenAI
2025-09-15
2 months newer
Performance comparison across key benchmark categories

Gemma 3n E4B

GPT-5 Codex
Gemma 3n E4B
2024-06-01
GPT-5 Codex
2024-09-30
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B

GPT-5 Codex

Gemma 3n E4B

GPT-5 Codex