Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Moonshot AI
Kimi K2 Base was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
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.
5 months newer

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

Kimi K2 Base
Moonshot AI
2025-07-11
Context window and performance specifications
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Kimi K2 Base

Phi-4-multimodal-instruct
DeepInfra

Kimi K2 Base

Phi-4-multimodal-instruct

Kimi K2 Base

Phi-4-multimodal-instruct