Model Comparison

Gemini 3.1 Pro vs DeepSeek VL2 SmallWhich is better in 2026?

Comparing Gemini 3.1 Pro and DeepSeek VL2 Small across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.1 Pro vs DeepSeek VL2 Small — which is better?

Gemini 3.1 Pro (by Google) and DeepSeek VL2 Small (by DeepSeek) 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.

Choose Gemini 3.1 Pro if…

  • you want the most recent training data — it shipped Feb 2026

Choose DeepSeek VL2 Small if…

  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.1 Pro and DeepSeek VL2 Small don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 3.1 Pro specifies input context (1,048,576 tokens). Only Gemini 3.1 Pro specifies output context (65,536 tokens).

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and DeepSeek VL2 Small support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.1 Pro

Text
Images
Audio
Video

DeepSeek VL2 Small

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while DeepSeek VL2 Small uses deepseek.

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

Gemini 3.1 Pro

Proprietary

Closed source

DeepSeek VL2 Small

deepseek

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while DeepSeek VL2 Small was released on 2024-12-13.

Gemini 3.1 Pro is 14 months newer than DeepSeek VL2 Small.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

1.2yr newer
DeepSeek VL2 Small

Dec 13, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek VL2 Small's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek VL2 Small's cutoff date.

Gemini 3.1 Pro

Jan 2025

DeepSeek VL2 Small

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Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
DeepSeek
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
DeepSeek
DeepSeek VL2 Small

FAQ

Common questions about Gemini 3.1 Pro vs DeepSeek VL2 Small.

Which is better, Gemini 3.1 Pro or DeepSeek VL2 Small?

Gemini 3.1 Pro (Google) and DeepSeek VL2 Small (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.1 Pro compare to DeepSeek VL2 Small in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%.

What are the context window sizes for Gemini 3.1 Pro and DeepSeek VL2 Small?

Gemini 3.1 Pro supports 1.0M tokens and DeepSeek VL2 Small 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 Gemini 3.1 Pro and DeepSeek VL2 Small?

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

Who makes Gemini 3.1 Pro and DeepSeek VL2 Small?

Gemini 3.1 Pro is developed by Google and DeepSeek VL2 Small is developed by DeepSeek.

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