Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 3.0% higher average benchmark score. Qwen2.5 7B Instruct offers 107.3K more tokens in context window than Phi 4. Both models have similar pricing. 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 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K 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 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)
Phi 4
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 20 common benchmarks
Phi 4
Qwen2.5 7B Instruct
Phi 4
2024-06-01
Available providers and their performance metrics
Phi 4
DeepInfra
Qwen2.5 7B Instruct
Phi 4
Qwen2.5 7B Instruct
Phi 4
Qwen2.5 7B Instruct
Together