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Gemma 3n E2B Instructed LiteRT (Preview) vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 39.8% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
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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.
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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 E2B 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 E2B Instructed LiteRT (Preview)
Average Score:42.4%(+39.8%)
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GPT-5 Codex
Average Score:2.6%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B 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 E2B Instructed LiteRT (Preview)
0 providers
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GPT-5 Codex
0 providers
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:42.4%(+39.8%)
Providers:0
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GPT-5 Codex
Avg Score:2.6%
Providers:0