Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
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.
1 month newer

Phi 4
Microsoft
2024-12-12

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

Phi 4

Phi-4-multimodal-instruct
Context window and performance specifications
Phi 4
2024-06-01
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Phi 4
DeepInfra

Phi-4-multimodal-instruct

Phi 4

Phi-4-multimodal-instruct

Phi 4

Phi-4-multimodal-instruct
DeepInfra