Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 14.1% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $1.85 cheaper per million tokens. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
2 months newer

Phi-4-multimodal-instruct
Microsoft
2025-02-01

GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)

GPT-4.1 mini

Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 2 common benchmarks

GPT-4.1 mini

Phi-4-multimodal-instruct
GPT-4.1 mini
2024-05-31
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

GPT-4.1 mini
OpenAI
ZeroEval


GPT-4.1 mini

Phi-4-multimodal-instruct

GPT-4.1 mini

Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
DeepInfra