Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Phi-3.5-mini-instruct offers 108.5K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Phi-3.5-mini-instruct is $0.75 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It supports a 147K 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 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
11 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Cost per million tokens (USD)
Phi-3.5-mini-instruct
Qwen3-235B-A22B-Instruct-2507
Context window and performance specifications
Average performance across 54 common benchmarks
Phi-3.5-mini-instruct
Qwen3-235B-A22B-Instruct-2507
Available providers and their performance metrics
Phi-3.5-mini-instruct
Azure
Qwen3-235B-A22B-Instruct-2507
Phi-3.5-mini-instruct
Qwen3-235B-A22B-Instruct-2507
Phi-3.5-mini-instruct
Qwen3-235B-A22B-Instruct-2507
Novita