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Gemma 3n E2B Instructed vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed leads with 28.0% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. Overall, Gemma 3n E2B Instructed is the stronger choice for coding tasks.
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Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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 E2B Instructed
2025-06-26
GPT-5 Codex
OpenAI
2025-09-15
Average performance across 19 common benchmarks
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Gemma 3n E2B Instructed
Average Score:32.0%(+28.0%)
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GPT-5 Codex
Average Score:3.9%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed
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 E2B Instructed
0 providers
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GPT-5 Codex
0 providers
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Gemma 3n E2B Instructed
Avg Score:32.0%(+28.0%)
Providers:0
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GPT-5 Codex
Avg Score:3.9%
Providers:0