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DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Zero
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
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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 Llama 70B
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 Llama 70B
Average Score:76.0%
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DeepSeek R1 Zero
Average Score:76.5%(+0.5%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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DeepSeek R1 Zero
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DeepSeek R1 Distill Llama 70B
Avg Score:76.0%
Providers:1
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DeepSeek R1 Zero
Avg Score:76.5%(+0.5%)
Providers:0