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Phi 4 Mini Reasoning vs Qwen3.8-27B

Qwen3.8-27B significantly outperforms across most benchmarks.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Phi 4 Mini Reasoning outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA). Qwen3.8-27B significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Phi 4 Mini Reasoning

  • you are already invested in the Microsoft ecosystem

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Apr 2025
Aug 2026
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Phi 4 Mini Reasoning outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA).

Qwen3.8-27B significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

24.0B diff

Qwen3.8-27B has 24.0B more parameters than Phi 4 Mini Reasoning, making it 631.1% larger.

Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
3.8B
Phi 4 Mini Reasoning
27.8B
Qwen3.8-27B

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas Phi 4 Mini Reasoning does not.

Qwen3.8-27B 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

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Phi 4 Mini Reasoning is licensed under MIT, while Qwen3.8-27B 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

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 Mini Reasoning was released on 2025-04-30, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 16 months newer than Phi 4 Mini Reasoning.

Phi 4 Mini Reasoning

Apr 30, 2025

1.3 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

1.3yr newer

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while Qwen3.8-27B'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 Qwen3.8-27B's cutoff date.

Phi 4 Mini Reasoning

Feb 2025

Qwen3.8-27B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Phi 4 Mini Reasoning and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Phi 4 Mini Reasoning
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Phi 4 Mini Reasoning vs Qwen3.8-27B.

Which is better, Phi 4 Mini Reasoning or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. Phi 4 Mini Reasoning is made by Microsoft and Qwen3.8-27B 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 Reasoning compare to Qwen3.8-27B in benchmarks?

Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the main differences between Phi 4 Mini Reasoning and Qwen3.8-27B?

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 Reasoning and Qwen3.8-27B?

Phi 4 Mini Reasoning is developed by Microsoft and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.