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 72B Instruct
Alibaba
Qwen2.5 72B Instruct is a language model developed by Alibaba. 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%). The model shows particular specialization in math tasks with an average performance of 89.5%. 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's latest advancement in AI technology.

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

Qwen2.5 72B Instruct
Alibaba
2024-09-19
27 days newer
Pricing Comparison
Cost per million tokens (USD)

Phi-3.5-mini-instruct

Qwen2.5 72B Instruct
Performance Metrics
Context window and performance specifications

Phi-3.5-mini-instruct

Qwen2.5 72B Instruct
Average performance across 7 common benchmarks

Phi-3.5-mini-instruct

Qwen2.5 72B Instruct
Performance comparison across key benchmark categories

Phi-3.5-mini-instruct

Qwen2.5 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-mini-instruct
Azure

Qwen2.5 72B Instruct
Together
Hyperbolic
DeepInfra
Fireworks

Phi-3.5-mini-instruct

Qwen2.5 72B Instruct