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

Gemma 3n E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. 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 E2B Instructed LiteRT (Preview)
2025-05-20

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

Gemma 3n E2B Instructed LiteRT (Preview)

GPT-5 Codex
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
GPT-5 Codex
2024-09-30
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E2B Instructed LiteRT (Preview)

GPT-5 Codex

Gemma 3n E2B Instructed LiteRT (Preview)

GPT-5 Codex