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DeepSeek R1 Zero vs Gemma 3n E2B Instructed
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 42.7% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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Gemma 3N E2B IT was developed as the instruction-tuned version of Gemma 3N E2B, designed to follow user instructions while maintaining edge-optimized efficiency. Built for applications requiring both compact size and reliable instruction-following, it extends conversational AI to resource-constrained environments.
5 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Gemma 3n E2B Instructed
2025-06-26
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Average performance across 2 common benchmarks
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DeepSeek R1 Zero
Average Score:61.7%(+42.7%)
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Gemma 3n E2B Instructed
Average Score:19.0%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed
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
0 providers
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DeepSeek R1 Zero
Avg Score:61.7%(+42.7%)
Providers:0
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Gemma 3n E2B Instructed
Avg Score:19.0%
Providers:0