Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 13.4% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $12.35 cheaper per million tokens. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
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.
9 months newer

Gemini 1.5 Pro
2024-05-01

Phi-4-multimodal-instruct
Microsoft
2025-02-01
Cost per million tokens (USD)

Gemini 1.5 Pro

Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 3 common benchmarks

Gemini 1.5 Pro

Phi-4-multimodal-instruct
Gemini 1.5 Pro
2023-11-01
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Gemini 1.5 Pro

Phi-4-multimodal-instruct

Gemini 1.5 Pro

Phi-4-multimodal-instruct

Gemini 1.5 Pro

Phi-4-multimodal-instruct
DeepInfra