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DeepSeek R1 Distill Qwen 32B 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-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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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 32B
DeepSeek
2025-01-20
Gemma 3n E4B
2025-06-26
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Performance Metrics
Context window and performance specifications
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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 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Gemma 3n E4B
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DeepSeek R1 Distill Qwen 32B
Avg Score:0.0%
Providers:1
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Gemma 3n E4B
Avg Score:0.0%
Providers:0