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DeepSeek R1 Distill Qwen 32B vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 40.7% higher average benchmark score. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). 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 is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
12 days newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Phi 4 Mini
Microsoft
2025-02-01
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:14.8%
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Phi 4 Mini
Average Score:55.5%(+40.7%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
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 Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Phi 4 Mini
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DeepSeek R1 Distill Qwen 32B
Avg Score:14.8%
Providers:1
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Phi 4 Mini
Avg Score:55.5%(+40.7%)
Providers:0