Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Phi-3.5-mini-instruct
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.

Qwen3 32B
Alibaba
Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. 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's latest advancement in AI technology.

Phi-3.5-mini-instruct
Microsoft
2024-08-23

Qwen3 32B
Alibaba
2025-04-29
8 months newer
Pricing Comparison
Cost per million tokens (USD)

Phi-3.5-mini-instruct

Qwen3 32B
Performance Metrics
Context window and performance specifications

Phi-3.5-mini-instruct

Qwen3 32B
Average performance across 1 common benchmarks

Phi-3.5-mini-instruct

Qwen3 32B
Performance comparison across key benchmark categories

Phi-3.5-mini-instruct

Qwen3 32B
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-mini-instruct
Azure

Qwen3 32B
Sambanova
DeepInfra
Novita

Phi-3.5-mini-instruct

Qwen3 32B