Comprehensive side-by-side LLM comparison
Phi 4 leads with 35.1% higher average benchmark score. DeepSeek R1 Distill Qwen 32B offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Overall, Phi 4 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 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
1 month newer
Phi 4
Microsoft
2024-12-12
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
Phi 4
Context window and performance specifications
Average performance across 16 common benchmarks
DeepSeek R1 Distill Qwen 32B
Phi 4
Phi 4
2024-06-01
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Phi 4
DeepSeek R1 Distill Qwen 32B
Phi 4
DeepSeek R1 Distill Qwen 32B
Phi 4
DeepInfra