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Gemma 3n E4B vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 53.0% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
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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.
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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.
2 months newer
Gemma 3n E4B
2025-06-26
GPT-5 Codex
OpenAI
2025-09-15
Average performance across 12 common benchmarks
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Gemma 3n E4B
Average Score:59.2%(+53.0%)
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GPT-5 Codex
Average Score:6.2%
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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
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Gemma 3n E4B
0 providers
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GPT-5 Codex
0 providers
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Gemma 3n E4B
Avg Score:59.2%(+53.0%)
Providers:0
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GPT-5 Codex
Avg Score:6.2%
Providers:0