Model Comparison

DeepSeek-V3.1 vs Phi 4 Mini Reasoning

DeepSeek-V3.1 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3.1 outperforms in 1 benchmarks (GPQA), while Phi 4 Mini Reasoning is better at 0 benchmarks.

DeepSeek-V3.1 significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

667.2B diff

DeepSeek-V3.1 has 667.2B more parameters than Phi 4 Mini Reasoning, making it 17557.9% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
671.0B
DeepSeek-V3.1
3.8B
Phi 4 Mini Reasoning

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.1 specifies input context (163,840 tokens). Only DeepSeek-V3.1 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 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-V3.1

MIT

Open weights

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Phi 4 Mini Reasoning was released on 2025-04-30.

Phi 4 Mini Reasoning is 4 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

Phi 4 Mini Reasoning

Apr 30, 2025

1.0 years ago

3mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while DeepSeek-V3.1'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-V3.1's cutoff date.

DeepSeek-V3.1

—

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Higher GPQA score (74.9% vs 52.0%)
Microsoft

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Microsoft
Phi 4 Mini Reasoning

FAQ

Common questions about DeepSeek-V3.1 vs Phi 4 Mini Reasoning.

Which is better, DeepSeek-V3.1 or Phi 4 Mini Reasoning?

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and Phi 4 Mini Reasoning is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.1 compare to Phi 4 Mini Reasoning in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for DeepSeek-V3.1 and Phi 4 Mini Reasoning?

DeepSeek-V3.1 supports 164K 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-V3.1 and Phi 4 Mini Reasoning?

DeepSeek-V3.1 is developed by DeepSeek and Phi 4 Mini Reasoning is developed by Microsoft.