Phi-4-multimodal-instruct vs Qwen3-Coder Comparison

Comparing Phi-4-multimodal-instruct and Qwen3-Coder across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi-4-multimodal-instruct and Qwen3-Coder don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi-4-multimodal-instruct costs less

For input processing, Phi-4-multimodal-instruct ($0.05/1M tokens) is 3.6x cheaper than Qwen3-Coder ($0.18/1M tokens).

For output processing, Phi-4-multimodal-instruct ($0.10/1M tokens) is 1.8x cheaper than Qwen3-Coder ($0.18/1M tokens).

In conclusion, Qwen3-Coder is more expensive than Phi-4-multimodal-instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input tokens$0.18
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

474.4B diff

Qwen3-Coder has 474.4B more parameters than Phi-4-multimodal-instruct, making it 8471.4% larger.

Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder
480.0Bparameters
5.6B
Phi-4-multimodal-instruct
480.0B
Qwen3-Coder

Context Window

Maximum input and output token capacity

Qwen3-Coder accepts 256,000 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.

Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-4-multimodal-instruct supports multimodal inputs, whereas Qwen3-Coder does not.

Phi-4-multimodal-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Phi-4-multimodal-instruct

Text
Images
Audio
Video

Qwen3-Coder

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-4-multimodal-instruct is licensed under MIT, while Qwen3-Coder uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Phi-4-multimodal-instruct

MIT

Open weights

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-4-multimodal-instruct was released on 2025-02-01, while Qwen3-Coder was released on 2025-01-01.

Phi-4-multimodal-instruct is 1 month newer than Qwen3-Coder.

Phi-4-multimodal-instruct

Feb 1, 2025

1.1 years ago

1mo newer
Qwen3-Coder

Jan 1, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Qwen3-Coder's cutoff date is not specified.

We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3-Coder's cutoff date.

Phi-4-multimodal-instruct

Jun 2024

Qwen3-Coder

Provider Availability

Phi-4-multimodal-instruct is available from DeepInfra. Qwen3-Coder is available from DeepInfra, Fireworks. The availability of providers can affect quality of the model and reliability.

Phi-4-multimodal-instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M

Qwen3-Coder

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi-4-multimodal-instruct
Alibaba Cloud / Qwen Team
Qwen3-Coder