Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Alibaba Cloud / Qwen Team
Qwen3-Next 80B Base was introduced as an experimental base model with 80 billion total parameters and 3 billion active parameters. Built to explore advanced mixture-of-experts architectures, it provides a foundation for fine-tuning and research into efficient large-scale model design.
7 months newer

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

Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
Context window and performance specifications
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Phi-4-multimodal-instruct
DeepInfra

Qwen3-Next-80B-A3B-Base

Phi-4-multimodal-instruct

Qwen3-Next-80B-A3B-Base

Phi-4-multimodal-instruct

Qwen3-Next-80B-A3B-Base