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Gemma 3n E4B Instructed vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 35.9% higher average benchmark score. Gemma 3n E4B Instructed supports multimodal inputs. Overall, Gemma 3n E4B Instructed is the stronger choice for coding tasks.
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Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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 Instructed
2025-06-26
GPT-5 Codex
OpenAI
2025-09-15
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Gemma 3n E4B Instructed
Average Score:39.8%(+35.9%)
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GPT-5 Codex
Average Score:3.9%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B 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 E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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GPT-5 Codex
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Gemma 3n E4B Instructed
Avg Score:39.8%(+35.9%)
Providers:1
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GPT-5 Codex
Avg Score:3.9%
Providers:0