Model Comparison

DeepSeek-V2.5 vs Phi 4 Mini Reasoning

Comparing DeepSeek-V2.5 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-V2.5 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

232.2B diff

DeepSeek-V2.5 has 232.2B more parameters than Phi 4 Mini Reasoning, making it 6110.5% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
236.0B
DeepSeek-V2.5
3.8B
Phi 4 Mini Reasoning

Context Window

Maximum input and output token capacity

Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Fri May 15 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while Phi 4 Mini Reasoning uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V2.5

deepseek

Open weights

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Phi 4 Mini Reasoning was released on 2025-04-30.

Phi 4 Mini Reasoning is 12 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.0 years ago

Phi 4 Mini Reasoning

Apr 30, 2025

1.0 years ago

11mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while DeepSeek-V2.5'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-V2.5's cutoff date.

DeepSeek-V2.5

—

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (8,192 tokens)
Microsoft

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Microsoft
Phi 4 Mini Reasoning

FAQ

Common questions about DeepSeek-V2.5 vs Phi 4 Mini Reasoning.

Which is better, DeepSeek-V2.5 or Phi 4 Mini Reasoning?

DeepSeek-V2.5 (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-V2.5 compare to Phi 4 Mini Reasoning in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for DeepSeek-V2.5 and Phi 4 Mini Reasoning?

DeepSeek-V2.5 supports 8K 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.

What are the main differences between DeepSeek-V2.5 and Phi 4 Mini Reasoning?

Key differences include licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V2.5 and Phi 4 Mini Reasoning?

DeepSeek-V2.5 is developed by DeepSeek and Phi 4 Mini Reasoning is developed by Microsoft.