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Phi 4 Mini Reasoning vs Qwen3 VL 235B A22B Thinking

Qwen3 VL 235B A22B Thinking leads the LLM Stats Score 26.7 to 7.2.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 235B A22B Thinking leads the overall LLM Stats Score 26.7 to 7.2, ranking #151 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 Thinking

  • overall performance matters — it scores 26.7 and ranks #151 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
#292
26.7
#151
7.5
#283
26.9
#145
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.45 / M
Output price
— / M
$3.49 / M
Context window
262,144

Individual benchmarks

3 reported for Phi 4 Mini Reasoning · 67 for Qwen3 VL 235B A22B Thinking

No common benchmarks found

Phi 4 Mini Reasoning and Qwen3 VL 235B A22B Thinkingdon'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 Thinking 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 Thinking
236.0Bparameters
3.8B
Phi 4 Mini Reasoning
236.0B
Qwen3 VL 235B A22B Thinking

Context Window

Maximum input and output token capacity

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

Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Qwen3 VL 235B A22B Thinking 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 Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Phi 4 Mini Reasoning is licensed under MIT, while Qwen3 VL 235B A22B Thinking 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 Thinking

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 Thinking was released on 2025-09-22.

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

Phi 4 Mini Reasoning

Apr 30, 2025

1.4 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

1.0 years 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 Thinking'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 Thinking's cutoff date.

Phi 4 Mini Reasoning

Feb 2025

Qwen3 VL 235B A22B Thinking

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 Thinking side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Qwen3 VL 235B A22B Thinking leads the LLM Stats Score 26.7 to 7.2. Phi 4 Mini Reasoning is made by Microsoft and Qwen3 VL 235B A22B Thinking 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 Thinking in benchmarks?

Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

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

Phi 4 Mini Reasoning supports an unknown number of tokens and Qwen3 VL 235B A22B Thinking 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 Thinking?

Key differences include LLM Stats Score (7.2 vs 26.7), 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 Thinking?

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