Model Comparison

DeepSeek-V3 vs Phi 4 Mini

DeepSeek-V3 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Phi 4 Mini is better at 0 benchmarks.

DeepSeek-V3 significantly outperforms across most benchmarks.

Wed May 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

667.2B diff

DeepSeek-V3 has 667.2B more parameters than Phi 4 Mini, making it 17374.0% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Microsoft
Phi 4 Mini
3.8Bparameters
671.0B
DeepSeek-V3
3.8B
Phi 4 Mini

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Microsoft
Phi 4 Mini
Input- tokens
Output- tokens
Wed May 27 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Phi 4 Mini uses MIT.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Phi 4 Mini

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Phi 4 Mini was released on 2025-02-01.

Phi 4 Mini is 1 month newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

Phi 4 Mini

Feb 1, 2025

1.3 years ago

1mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V3's cutoff date is not specified.

We can confirm Phi 4 Mini's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V3's cutoff date.

DeepSeek-V3

—

Phi 4 Mini

Jun 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Higher GPQA score (59.1% vs 25.2%)
Higher MMLU score (88.5% vs 67.3%)
Higher MMLU-Pro score (75.9% vs 52.8%)
Microsoft

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

Detailed Comparison

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

FAQ

Common questions about DeepSeek-V3 vs Phi 4 Mini.

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

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

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

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Phi 4 Mini scores GSM8k: 88.6%, ARC-C: 83.7%, BoolQ: 81.2%, OpenBookQA: 79.2%, PIQA: 77.6%.

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

DeepSeek-V3 supports 131K tokens and Phi 4 Mini 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-V3 and Phi 4 Mini?

Key differences include licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Phi 4 Mini?

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