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DeepSeek R1 Distill Qwen 32B vs Gemma 2 9B
Comprehensive side-by-side LLM comparison
. 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 2 9B was created as a more compact open-source model, designed to deliver capable performance with reduced computational requirements. Built with 9 billion parameters and instruction tuning, it serves applications where efficiency and accessibility are valued alongside the benefits of open-source availability.
6 months newer
Gemma 2 9B
2024-06-27
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
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 2 9B
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DeepSeek R1 Distill Qwen 32B
Avg Score:0.0%
Providers:1
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Gemma 2 9B
Avg Score:0.0%
Providers:0