Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 2.8% higher average benchmark score. DeepSeek-V3.2-Exp offers 197.4K more tokens in context window than Phi 4. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. 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.
9 months newer
Phi 4
Microsoft
2024-12-12
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Phi 4
Context window and performance specifications
Average performance across 24 common benchmarks
DeepSeek-V3.2-Exp
Phi 4
Phi 4
2024-06-01
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Phi 4
DeepSeek-V3.2-Exp
Phi 4
DeepSeek-V3.2-Exp
Phi 4
DeepInfra