Model Comparison

DeepSeek VL2 vs Phi 4Which is better in 2026?

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

Verdict: DeepSeek VL2 vs Phi 4 — which is better?

DeepSeek VL2 (by DeepSeek) and Phi 4 (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek VL2 also accepts a larger context window (129,280 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek VL2 if…

  • you process long inputs — it offers a 129,280 token context window
  • you want the most recent training data — it shipped Dec 2024

Choose Phi 4 if…

  • you want predictable pricing at $0.07/M input and $0.14/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Phi 4don'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

12.3B diff

DeepSeek VL2 has 12.3B more parameters than Phi 4, making it 83.7% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Microsoft
Phi 4
14.7Bparameters
27.0B
DeepSeek VL2
14.7B
Phi 4

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to Phi 4's 16,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Phi 4 is limited to 16,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Wed Jul 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Phi 4 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

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Phi 4 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

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Phi 4 was released on 2024-12-12.

DeepSeek VL2 is 0 month newer than Phi 4.

DeepSeek VL2

Dec 13, 2024

1.6 years ago

1d newer
Phi 4

Dec 12, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while DeepSeek VL2's cutoff date is not specified.

We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

Phi 4

Jun 2024

Provider Availability

DeepSeek VL2 is available from Replicate. Phi 4 is available from DeepInfra.

DeepSeek VL2

replicate logo
Replicate

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 and Phi 4 side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Phi 4
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Microsoft
Phi 4

FAQ

Common questions about DeepSeek VL2 vs Phi 4.

Which is better, DeepSeek VL2 or Phi 4?

DeepSeek VL2 (DeepSeek) and Phi 4 (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 VL2 compare to Phi 4 in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

What are the context window sizes for DeepSeek VL2 and Phi 4?

DeepSeek VL2 supports 129K tokens and Phi 4 supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 and Phi 4?

Key differences include context window (129K vs 16K), multimodal support (yes vs no), licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Phi 4?

DeepSeek VL2 is developed by DeepSeek and Phi 4 is developed by Microsoft.

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