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Gemma 3n E4B Instructed LiteRT Preview vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 46.0% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. Overall, Gemma 3n E4B Instructed LiteRT Preview is the stronger choice for coding tasks.
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Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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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.
3 months newer
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
GPT-5 Codex
OpenAI
2025-09-15
Average performance across 29 common benchmarks
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Gemma 3n E4B Instructed LiteRT Preview
Average Score:48.6%(+46.0%)
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GPT-5 Codex
Average Score:2.6%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed LiteRT Preview
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
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Gemma 3n E4B Instructed LiteRT Preview
0 providers
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GPT-5 Codex
0 providers
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Gemma 3n E4B Instructed LiteRT Preview
Avg Score:48.6%(+46.0%)
Providers:0
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GPT-5 Codex
Avg Score:2.6%
Providers:0