+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 32B vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 44.1% higher average benchmark score. Overall, Phi 4 Reasoning is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). 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 Qwen 32B
DeepSeek
2025-01-20
Phi 4 Reasoning
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Average Score:24.7%
+
+
+
+
Phi 4 Reasoning
Average Score:68.9%(+44.1%)
+
+
+
+
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
+
+
+
+
DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
+
+
+
+
Phi 4 Reasoning
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Avg Score:24.7%
Providers:1
+
+
+
+
Phi 4 Reasoning
Avg Score:68.9%(+44.1%)
Providers:0