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

GPT-4.1 mini
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.

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

GPT-4.1 mini
OpenAI
2025-04-14
7 months newer
Pricing Comparison
Cost per million tokens (USD)

GPT-4.1 mini

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

GPT-4.1 mini

Phi-3.5-mini-instruct
Average performance across 3 common benchmarks

GPT-4.1 mini

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

GPT-4.1 mini

Phi-3.5-mini-instruct
GPT-4.1 mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 mini
ZeroEval
OpenAI

Phi-3.5-mini-instruct
Azure

GPT-4.1 mini

Phi-3.5-mini-instruct