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DeepSeek R1 Distill Llama 70B vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 20.0% higher average benchmark score. Overall, DeepSeek R1 Distill Llama 70B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
3 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:60.8%(+20.0%)
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Phi 4 Mini Reasoning
Average Score:40.8%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
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 Mini Reasoning
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DeepSeek R1 Distill Llama 70B
Avg Score:60.8%(+20.0%)
Providers:1
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Phi 4 Mini Reasoning
Avg Score:40.8%
Providers:0