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DeepSeek R1 Distill Llama 70B vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 4.8% 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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Microsoft
Phi-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
3 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Phi 4 Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:69.8%(+4.8%)
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Phi 4 Reasoning
Average Score:65.0%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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 Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Phi 4 Reasoning
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DeepSeek R1 Distill Llama 70B
Avg Score:69.8%(+4.8%)
Providers:1
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Phi 4 Reasoning
Avg Score:65.0%
Providers:0