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DeepSeek R1 Distill Qwen 1.5B vs Gemma 3n E4B
Comprehensive side-by-side LLM comparison
Gemma 3n E4B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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Gemma 3N E4B was developed as a slightly larger edge-optimized variant, designed to provide enhanced capabilities while still fitting within edge computing constraints. Built to serve applications that can accommodate more parameters for improved quality, it expands the range of edge deployment options.
5 months newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Gemma 3n E4B
2025-06-26
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
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 Distill Qwen 1.5B
0 providers
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Gemma 3n E4B
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:0.0%
Providers:0
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Gemma 3n E4B
Avg Score:0.0%
Providers:0