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DeepSeek R1 Distill Qwen 32B vs DeepSeek R1 Zero
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 2.3% higher average benchmark score. 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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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.
Launched on the same date
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
DeepSeek R1 Zero
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:74.2%
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DeepSeek R1 Zero
Average Score:76.5%(+2.3%)
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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DeepSeek R1 Zero
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DeepSeek R1 Distill Qwen 32B
Avg Score:74.2%
Providers:1
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DeepSeek R1 Zero
Avg Score:76.5%(+2.3%)
Providers:0