Model Comparison

DeepSeek VL2 vs Phi 4 Mini Reasoning

Comparing DeepSeek VL2 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 VL2 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

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
DeepSeek
DeepSeek VL2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Microsoft
Phi 4 Mini Reasoning
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

23.2B diff

DeepSeek VL2 has 23.2B more parameters than Phi 4 Mini Reasoning, making it 610.5% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
27.0B
DeepSeek VL2
3.8B
Phi 4 Mini Reasoning

Context Window

Maximum input and output token capacity

Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Phi 4 Mini Reasoning does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

Phi 4 Mini Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 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 VL2

deepseek

Open weights

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Phi 4 Mini Reasoning was released on 2025-04-30.

Phi 4 Mini Reasoning is 5 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.3 years ago

Phi 4 Mini Reasoning

Apr 30, 2025

11 months ago

4mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while DeepSeek VL2'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 VL2's cutoff date.

DeepSeek VL2

—

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (129,280 tokens)
Supports multimodal inputs
Microsoft

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Microsoft
Phi 4 Mini Reasoning

FAQ

Common questions about DeepSeek VL2 vs Phi 4 Mini Reasoning

DeepSeek VL2 (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.
DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.
DeepSeek VL2 supports 129K 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.
Key differences include multimodal support (yes vs no), licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 is developed by DeepSeek and Phi 4 Mini Reasoning is developed by Microsoft.