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.

Qwen2.5-Coder 32B Instruct
Alibaba
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K 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's latest advancement in AI technology.

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

Qwen2.5-Coder 32B Instruct
Alibaba
2024-09-19
27 days newer
Pricing Comparison
Cost per million tokens (USD)

Phi-3.5-mini-instruct

Qwen2.5-Coder 32B Instruct
Performance Metrics
Context window and performance specifications

Phi-3.5-mini-instruct

Qwen2.5-Coder 32B Instruct
Average performance across 10 common benchmarks

Phi-3.5-mini-instruct

Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories

Phi-3.5-mini-instruct

Qwen2.5-Coder 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-mini-instruct
Azure

Qwen2.5-Coder 32B Instruct
Hyperbolic
DeepInfra
Fireworks
Lambda

Phi-3.5-mini-instruct

Qwen2.5-Coder 32B Instruct