Model Comparison

DeepSeek VL2 Small vs Gemini 2.0 FlashWhich is better in 2026?

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Verdict: DeepSeek VL2 Small vs Gemini 2.0 Flash — which is better?

DeepSeek VL2 Small (by DeepSeek) and Gemini 2.0 Flash (by Google) 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 Small outperforms in 0 benchmarks, while Gemini 2.0 Flash is better at 1 benchmark (MMMU). Gemini 2.0 Flash significantly outperforms across most benchmarks.

Choose DeepSeek VL2 Small if…

  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

Choose Gemini 2.0 Flash if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek VL2 Small outperforms in 0 benchmarks, while Gemini 2.0 Flash is better at 1 benchmark (MMMU).

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Small and Gemini 2.0 Flash support multimodal inputs.

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

DeepSeek VL2 Small

Text
Images
Audio
Video

Gemini 2.0 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Gemini 2.0 Flash uses a proprietary license.

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

DeepSeek VL2 Small

deepseek

Open weights

Gemini 2.0 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Gemini 2.0 Flash was released on 2024-12-01.

DeepSeek VL2 Small is 0 month newer than Gemini 2.0 Flash.

DeepSeek VL2 Small

Dec 13, 2024

1.5 years ago

1w newer
Gemini 2.0 Flash

Dec 1, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while DeepSeek VL2 Small's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without DeepSeek VL2 Small's cutoff date.

DeepSeek VL2 Small

—

Gemini 2.0 Flash

Aug 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Has open weights
Google
Larger context window (1,048,576 tokens)
Higher MMMU score (70.7% vs 48.0%)
DeepSeekDeepSeek VL2 Small
GoogleGemini 2.0 Flash
Compare in Playground

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 Small and Gemini 2.0 Flash side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
Gemini 2.0 Flash
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Small
Google
Gemini 2.0 Flash

FAQ

Common questions about DeepSeek VL2 Small vs Gemini 2.0 Flash.

Which is better, DeepSeek VL2 Small or Gemini 2.0 Flash?

Gemini 2.0 Flash significantly outperforms across most benchmarks. DeepSeek VL2 Small is made by DeepSeek and Gemini 2.0 Flash is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek VL2 Small compare to Gemini 2.0 Flash in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%.

What are the context window sizes for DeepSeek VL2 Small and Gemini 2.0 Flash?

DeepSeek VL2 Small supports an unknown number of tokens and Gemini 2.0 Flash supports 1.0M 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 Small and Gemini 2.0 Flash?

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

Who makes DeepSeek VL2 Small and Gemini 2.0 Flash?

DeepSeek VL2 Small is developed by DeepSeek and Gemini 2.0 Flash is developed by Google.

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