Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 4.8% higher average benchmark score. Qwen2.5-Coder 32B Instruct offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Qwen2.5-Coder 32B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)
Phi 4
Qwen2.5-Coder 32B Instruct
Context window and performance specifications
Average performance across 24 common benchmarks
Phi 4
Qwen2.5-Coder 32B Instruct
Phi 4
2024-06-01
Available providers and their performance metrics
Phi 4
DeepInfra
Qwen2.5-Coder 32B Instruct
Phi 4
Qwen2.5-Coder 32B Instruct
Phi 4
Qwen2.5-Coder 32B Instruct
DeepInfra
Fireworks
Hyperbolic
Lambda