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DeepSeek R1 Zero vs Gemma 3n E2B Instructed LiteRT (Preview)
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 30.8% 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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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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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.
4 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Average performance across 30 common benchmarks
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DeepSeek R1 Zero
Average Score:10.2%
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:41.0%(+30.8%)
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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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DeepSeek R1 Zero
0 providers
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Gemma 3n E2B Instructed LiteRT (Preview)
0 providers
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DeepSeek R1 Zero
Avg Score:10.2%
Providers:0
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:41.0%(+30.8%)
Providers:0