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Model Comparison

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

Google

Gemma 3n E4B

Google

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.

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 3n E4B

Google

2025-06-26

OpenAI

GPT-5 Codex

OpenAI

2025-09-15

2 months newer

Performance comparison across key benchmark categories

Google

Gemma 3n E4B

general
59.6%
OpenAI

GPT-5 Codex

general
+14.9%
74.5%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B

2024-06-01

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 3n E4B

0 providers
OpenAI

GPT-5 Codex

0 providers
Google

Gemma 3n E4B

Avg Score:0.0%
Providers:0
OpenAI

GPT-5 Codex

Avg Score:0.0%
Providers:0