Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 19.4% higher average benchmark score. Phi-3.5-mini-instruct offers 116.7K more tokens in context window than Qwen2.5 72B Instruct. Phi-3.5-mini-instruct is $0.55 cheaper per million tokens. Qwen2.5 72B Instruct is available on 4 providers. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). 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 2024, it represents Microsoft's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). It supports a 139K 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.
27 days newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Cost per million tokens (USD)
Phi-3.5-mini-instruct
Qwen2.5 72B Instruct
Context window and performance specifications
Average performance across 38 common benchmarks
Phi-3.5-mini-instruct
Qwen2.5 72B Instruct
Available providers and their performance metrics
Phi-3.5-mini-instruct
Azure
Qwen2.5 72B Instruct
Phi-3.5-mini-instruct
Qwen2.5 72B Instruct
Phi-3.5-mini-instruct
Qwen2.5 72B Instruct
DeepInfra
Fireworks
Hyperbolic
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