Model Comparison

DeepSeek VL2 vs Gemma 3n E2B Instructed LiteRT (Preview)Which is better in 2026?

Comparing DeepSeek VL2 and Gemma 3n E2B Instructed LiteRT (Preview) across benchmarks, pricing, and capabilities.

Verdict: DeepSeek VL2 vs Gemma 3n E2B Instructed LiteRT (Preview) — which is better?

DeepSeek VL2 (by DeepSeek) and Gemma 3n E2B Instructed LiteRT (Preview) (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.

Choose DeepSeek VL2 if…

  • you are already invested in the DeepSeek ecosystem

Choose Gemma 3n E2B Instructed LiteRT (Preview) if…

  • you want the most recent training data — it shipped May 2025
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Gemma 3n E2B Instructed LiteRT (Preview)don'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

25.1B diff

DeepSeek VL2 has 25.1B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 1313.6% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
27.0B
DeepSeek VL2
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)

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
Google
Gemma 3n E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and Gemma 3n E2B Instructed LiteRT (Preview) support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Gemma 3n E2B Instructed LiteRT (Preview) uses Gemma.

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

DeepSeek VL2

deepseek

Open weights

Gemma 3n E2B Instructed LiteRT (Preview)

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20.

Gemma 3n E2B Instructed LiteRT (Preview) is 5 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.5 years ago

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.1 years ago

5mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) has a documented knowledge cutoff of 2024-06-01, while DeepSeek VL2's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed LiteRT (Preview)'s training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (129,280 tokens)
Google

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Google
Gemma 3n E2B Instructed LiteRT (Preview)

FAQ

Common questions about DeepSeek VL2 vs Gemma 3n E2B Instructed LiteRT (Preview).

Which is better, DeepSeek VL2 or Gemma 3n E2B Instructed LiteRT (Preview)?

DeepSeek VL2 (DeepSeek) and Gemma 3n E2B Instructed LiteRT (Preview) (Google) 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 Gemma 3n E2B Instructed LiteRT (Preview) in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%.

What are the context window sizes for DeepSeek VL2 and Gemma 3n E2B Instructed LiteRT (Preview)?

DeepSeek VL2 supports 129K tokens and Gemma 3n E2B Instructed LiteRT (Preview) 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 DeepSeek VL2 and Gemma 3n E2B Instructed LiteRT (Preview)?

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

Who makes DeepSeek VL2 and Gemma 3n E2B Instructed LiteRT (Preview)?

DeepSeek VL2 is developed by DeepSeek and Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google.

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