Model Comparison

Phi 4 Mini vs Qwen3 VL 235B A22B InstructWhich is better in 2026?

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

Verdict: Phi 4 Mini vs Qwen3 VL 235B A22B Instruct — which is better?

Phi 4 Mini (by Microsoft) and Qwen3 VL 235B A22B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Phi 4 Mini outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 2 benchmarks (MMLU, MMLU-Pro). Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

Choose Phi 4 Mini if…

  • you are already invested in the Microsoft ecosystem

Choose Qwen3 VL 235B A22B Instruct if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Phi 4 Mini outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 2 benchmarks (MMLU, MMLU-Pro).

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

Fri Jun 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

232.2B diff

Qwen3 VL 235B A22B Instruct has 232.2B more parameters than Phi 4 Mini, making it 6045.8% larger.

Microsoft
Phi 4 Mini
3.8Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
236.0Bparameters
3.8B
Phi 4 Mini
236.0B
Qwen3 VL 235B A22B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Instruct specifies output context (262,144 tokens).

Microsoft
Phi 4 Mini
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Fri Jun 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 235B A22B Instruct supports multimodal inputs, whereas Phi 4 Mini does not.

Qwen3 VL 235B A22B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Phi 4 Mini

Text
Images
Audio
Video

Qwen3 VL 235B A22B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Phi 4 Mini is licensed under MIT, while Qwen3 VL 235B A22B Instruct uses Apache 2.0.

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

Phi 4 Mini

MIT

Open weights

Qwen3 VL 235B A22B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 Mini was released on 2025-02-01, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.

Qwen3 VL 235B A22B Instruct is 8 months newer than Phi 4 Mini.

Phi 4 Mini

Feb 1, 2025

1.4 years ago

Qwen3 VL 235B A22B Instruct

Sep 22, 2025

8 months ago

7mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while Qwen3 VL 235B A22B Instruct's cutoff date is not specified.

We can confirm Phi 4 Mini's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3 VL 235B A22B Instruct's cutoff date.

Phi 4 Mini

Jun 2024

Qwen3 VL 235B A22B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

No standout differentiators in the data we have for this pair.

Larger context window (262,144 tokens)
Supports multimodal inputs
Higher MMLU score (88.8% vs 67.3%)
Higher MMLU-Pro score (81.8% vs 52.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi 4 Mini
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct

FAQ

Common questions about Phi 4 Mini vs Qwen3 VL 235B A22B Instruct.

Which is better, Phi 4 Mini or Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks. Phi 4 Mini is made by Microsoft and Qwen3 VL 235B A22B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Phi 4 Mini compare to Qwen3 VL 235B A22B Instruct in benchmarks?

Phi 4 Mini scores GSM8k: 88.6%, ARC-C: 83.7%, BoolQ: 81.2%, OpenBookQA: 79.2%, PIQA: 77.6%. Qwen3 VL 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.

What are the context window sizes for Phi 4 Mini and Qwen3 VL 235B A22B Instruct?

Phi 4 Mini supports an unknown number of tokens and Qwen3 VL 235B A22B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Phi 4 Mini and Qwen3 VL 235B A22B Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi 4 Mini and Qwen3 VL 235B A22B Instruct?

Phi 4 Mini is developed by Microsoft and Qwen3 VL 235B A22B Instruct is developed by Alibaba Cloud / Qwen Team.