Comprehensive side-by-side LLM comparison
Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. 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 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
2 months newer

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

Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)

Phi-4-multimodal-instruct

Qwen3 235B A22B
Context window and performance specifications
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Phi-4-multimodal-instruct
DeepInfra

Qwen3 235B A22B

Phi-4-multimodal-instruct

Qwen3 235B A22B

Phi-4-multimodal-instruct

Qwen3 235B A22B
DeepInfra
Fireworks
Novita
Together