Model Comparison

Phi 4 Mini Reasoning vs Qwen3 32B

Comparing Phi 4 Mini Reasoning and Qwen3 32B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi 4 Mini Reasoning and Qwen3 32B 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

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Microsoft
Phi 4 Mini Reasoning
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

29.0B diff

Qwen3 32B has 29.0B more parameters than Phi 4 Mini Reasoning, making it 763.2% larger.

Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
3.8B
Phi 4 Mini Reasoning
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

Only Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).

Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

Phi 4 Mini Reasoning is licensed under MIT, while Qwen3 32B 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 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 Mini Reasoning was released on 2025-04-30, while Qwen3 32B was released on 2025-04-29.

Phi 4 Mini Reasoning is 0 month newer than Qwen3 32B.

Phi 4 Mini Reasoning

Apr 30, 2025

11 months ago

1d newer
Qwen3 32B

Apr 29, 2025

11 months ago

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while Qwen3 32B'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 32B's cutoff date.

Phi 4 Mini Reasoning

Feb 2025

Qwen3 32B

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Outputs Comparison

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Key Takeaways

Microsoft
Alibaba Cloud / Qwen Team

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi 4 Mini Reasoning
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about Phi 4 Mini Reasoning vs Qwen3 32B

Phi 4 Mini Reasoning (Microsoft) and Qwen3 32B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.
Phi 4 Mini Reasoning supports an unknown number of tokens and Qwen3 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Phi 4 Mini Reasoning is developed by Microsoft and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.