Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 30.1% higher average benchmark score. Both models have similar pricing. Qwen3 32B is available on 3 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
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.
8 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)
Phi-3.5-mini-instruct
Qwen3 32B
Context window and performance specifications
Average performance across 39 common benchmarks
Phi-3.5-mini-instruct
Qwen3 32B
Available providers and their performance metrics
Phi-3.5-mini-instruct
Azure
Qwen3 32B
Phi-3.5-mini-instruct
Qwen3 32B
Phi-3.5-mini-instruct
Qwen3 32B
DeepInfra
Novita
Sambanova