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DeepSeek R1 Distill Qwen 32B vs Gemma 3n E2B
Comprehensive side-by-side LLM comparison
Gemma 3n E2B 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 E2B was created as a specialized efficient variant, designed for deployment in edge and mobile environments with strict resource constraints. Built with optimizations for edge computing, it brings Gemma capabilities to devices and applications where traditional models would be impractical.
5 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Gemma 3n E2B
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 E2B
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 E2B
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DeepSeek R1 Distill Qwen 32B
Avg Score:0.0%
Providers:1
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Gemma 3n E2B
Avg Score:0.0%
Providers:0