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Gemma 3n E2B Instructed LiteRT (Preview) vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 3.3% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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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Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
8 months newer
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Average performance across 39 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:31.5%(+3.3%)
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Qwen2.5-Coder 7B Instruct
Average Score:28.2%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
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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Qwen2.5-Coder 7B Instruct
0 providers
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:31.5%(+3.3%)
Providers:0
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Qwen2.5-Coder 7B Instruct
Avg Score:28.2%
Providers:0