The AI arena is free today

Open Superagent

Phi 4 Mini Reasoning vs Qwen3 VL 235B A22B Instruct

Qwen3 VL 235B A22B Instruct leads the LLM Stats Score 24.7 to 7.2.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 235B A22B Instruct leads the overall LLM Stats Score 24.7 to 7.2, ranking #161 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Phi 4 Mini Reasoning

  • you are already invested in the Microsoft ecosystem

Choose Qwen3 VL 235B A22B Instruct

  • overall performance matters — it scores 24.7 and ranks #161 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Core performance indexes
7.2
#288
24.7
#161
7.5
#279
22.5
#169
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.20 / M
Output price
— / M
$0.88 / M
Context window
262,144

Individual benchmarks

3 reported for Phi 4 Mini Reasoning · 50 for Qwen3 VL 235B A22B Instruct

No common benchmarks found

Phi 4 Mini Reasoning and Qwen3 VL 235B A22B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

232.2B diff

Qwen3 VL 235B A22B Instruct has 232.2B more parameters than Phi 4 Mini Reasoning, making it 6110.5% larger.

Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
236.0Bparameters
3.8B
Phi 4 Mini Reasoning
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 Reasoning
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 235B A22B Instruct supports multimodal inputs, whereas Phi 4 Mini Reasoning 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 Reasoning

Text
Images
Audio
Video

Qwen3 VL 235B A22B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Phi 4 Mini Reasoning 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 Reasoning

MIT

Open weights

Qwen3 VL 235B A22B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 Mini Reasoning was released on 2025-04-30, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.

Qwen3 VL 235B A22B Instruct is 5 months newer than Phi 4 Mini Reasoning.

Phi 4 Mini Reasoning

Apr 30, 2025

1.4 years ago

Qwen3 VL 235B A22B Instruct

Sep 22, 2025

11 months ago

4mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while Qwen3 VL 235B A22B Instruct's cutoff date is not specified.

We can confirm Phi 4 Mini Reasoning's training data extends to 2025-02-01, but cannot make a direct comparison without Qwen3 VL 235B A22B Instruct's cutoff date.

Phi 4 Mini Reasoning

Feb 2025

Qwen3 VL 235B A22B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Phi 4 Mini Reasoning and Qwen3 VL 235B A22B Instruct side-by-side, then vote on the output you prefer.

Phi 4 Mini Reasoning
✓ Preferred
Qwen3 VL 235B A22B Instruct
Open in Playground

FAQ

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

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

Qwen3 VL 235B A22B Instruct leads the LLM Stats Score 24.7 to 7.2. Phi 4 Mini Reasoning 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 capability indexes, individual benchmarks, pricing, and limits above.

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

Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%. 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 Reasoning and Qwen3 VL 235B A22B Instruct?

Phi 4 Mini Reasoning 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 Reasoning and Qwen3 VL 235B A22B Instruct?

Key differences include LLM Stats Score (7.2 vs 24.7), 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 Reasoning and Qwen3 VL 235B A22B Instruct?

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