Comprehensive side-by-side LLM comparison
Phi 4 leads with 10.5% higher average benchmark score. Qwen3 32B offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Qwen3 32B is available on 3 providers. Overall, Phi 4 is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen3 32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.0% across 9 benchmarks. It excels particularly in Arena Hard (93.8%), AIME 2024 (81.4%), LiveBench (74.9%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Phi 4
Microsoft
2024-12-12
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)
Phi 4
Qwen3 32B
Context window and performance specifications
Average performance across 20 common benchmarks
Phi 4
Qwen3 32B
Phi 4
2024-06-01
Available providers and their performance metrics
Phi 4
DeepInfra
Qwen3 32B
Phi 4
Qwen3 32B
Phi 4
Qwen3 32B
DeepInfra
Novita
Sambanova