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DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Distill Qwen 14B
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 4.5% higher average benchmark score. 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-Distill-Qwen-14B was developed as a mid-sized distilled variant based on Qwen, designed to balance reasoning capability with practical deployment considerations. Built to provide strong analytical performance while remaining accessible, it serves applications requiring reliable reasoning without flagship-scale resources.
Launched on the same date
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
DeepSeek R1 Distill Qwen 14B
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%(+4.5%)
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DeepSeek R1 Distill Qwen 14B
Average Score:71.5%
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 Distill Qwen 14B
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DeepSeek R1 Distill Llama 70B
Avg Score:76.0%(+4.5%)
Providers:1
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DeepSeek R1 Distill Qwen 14B
Avg Score:71.5%
Providers:0