Model Comparison

DeepSeek-V3.2-Speciale vs Phi 4 Mini Reasoning

Comparing DeepSeek-V3.2-Speciale and Phi 4 Mini Reasoning across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2-Speciale and Phi 4 Mini Reasoning don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

681.2B diff

DeepSeek-V3.2-Speciale has 681.2B more parameters than Phi 4 Mini Reasoning, making it 17926.3% larger.

DeepSeek
DeepSeek-V3.2-Speciale
685.0Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
685.0B
DeepSeek-V3.2-Speciale
3.8B
Phi 4 Mini Reasoning

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Speciale specifies input context (131,072 tokens). Only DeepSeek-V3.2-Speciale specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Tue May 12 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V3.2-Speciale

MIT

Open weights

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while Phi 4 Mini Reasoning was released on 2025-04-30.

DeepSeek-V3.2-Speciale is 7 months newer than Phi 4 Mini Reasoning.

DeepSeek-V3.2-Speciale

Dec 1, 2025

5 months ago

7mo newer
Phi 4 Mini Reasoning

Apr 30, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while DeepSeek-V3.2-Speciale'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 DeepSeek-V3.2-Speciale's cutoff date.

DeepSeek-V3.2-Speciale

—

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Microsoft

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Speciale
Microsoft
Phi 4 Mini Reasoning

FAQ

Common questions about DeepSeek-V3.2-Speciale vs Phi 4 Mini Reasoning.

Which is better, DeepSeek-V3.2-Speciale or Phi 4 Mini Reasoning?

DeepSeek-V3.2-Speciale (DeepSeek) and Phi 4 Mini Reasoning (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V3.2-Speciale compare to Phi 4 Mini Reasoning in benchmarks?

DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for DeepSeek-V3.2-Speciale and Phi 4 Mini Reasoning?

DeepSeek-V3.2-Speciale supports 131K tokens and Phi 4 Mini Reasoning supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes DeepSeek-V3.2-Speciale and Phi 4 Mini Reasoning?

DeepSeek-V3.2-Speciale is developed by DeepSeek and Phi 4 Mini Reasoning is developed by Microsoft.