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

GPT-4o mini
OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.

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.

GPT-4o mini
OpenAI
2024-07-18

Phi-3.5-mini-instruct
Microsoft
2024-08-23
1 month newer
Pricing Comparison
Cost per million tokens (USD)

GPT-4o mini

Phi-3.5-mini-instruct
Performance Metrics
Context window and performance specifications

GPT-4o mini

Phi-3.5-mini-instruct
Average performance across 5 common benchmarks

GPT-4o mini

Phi-3.5-mini-instruct
Performance comparison across key benchmark categories

GPT-4o mini

Phi-3.5-mini-instruct
GPT-4o mini
2023-10-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-4o mini
Azure

Phi-3.5-mini-instruct
Azure

GPT-4o mini

Phi-3.5-mini-instruct