Model Comparison

DeepSeek VL2 Small vs Phi 4 Mini

Comparing DeepSeek VL2 Small and Phi 4 Mini across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Small and Phi 4 Mini 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
Sun Apr 19 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Small
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Microsoft
Phi 4 Mini
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

12.2B diff

DeepSeek VL2 Small has 12.2B more parameters than Phi 4 Mini, making it 316.7% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
Microsoft
Phi 4 Mini
3.8Bparameters
16.0B
DeepSeek VL2 Small
3.8B
Phi 4 Mini

Input Capabilities

Supported data types and modalities

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

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

DeepSeek VL2 Small

Text
Images
Audio
Video

Phi 4 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Phi 4 Mini uses MIT.

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

DeepSeek VL2 Small

deepseek

Open weights

Phi 4 Mini

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Phi 4 Mini was released on 2025-02-01.

Phi 4 Mini is 2 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.3 years ago

Phi 4 Mini

Feb 1, 2025

1.2 years ago

1mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while DeepSeek VL2 Small'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 VL2 Small's cutoff date.

DeepSeek VL2 Small

—

Phi 4 Mini

Jun 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Supports multimodal inputs
Microsoft

Detailed Comparison

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

FAQ

Common questions about DeepSeek VL2 Small vs Phi 4 Mini

DeepSeek VL2 Small (DeepSeek) and Phi 4 Mini (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 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Phi 4 Mini scores GSM8k: 88.6%, ARC-C: 83.7%, BoolQ: 81.2%, OpenBookQA: 79.2%, PIQA: 77.6%.
Key differences include multimodal support (yes vs no), licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 Small is developed by DeepSeek and Phi 4 Mini is developed by Microsoft.