Model Comparison

DeepSeek VL2 vs Gemma 3n E4B

Comparing DeepSeek VL2 and Gemma 3n E4B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Gemma 3n E4B 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
Wed Apr 22 2026 • llm-stats.com
DeepSeek
DeepSeek VL2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Google
Gemma 3n E4B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

19.0B diff

DeepSeek VL2 has 19.0B more parameters than Gemma 3n E4B, making it 237.5% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Google
Gemma 3n E4B
8.0Bparameters
27.0B
DeepSeek VL2
8.0B
Gemma 3n E4B

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 E4B
Input- tokens
Output- tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and Gemma 3n E4B 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 E4B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Gemma 3n E4B uses a proprietary license.

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

DeepSeek VL2

deepseek

Open weights

Gemma 3n E4B

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Gemma 3n E4B was released on 2025-06-26.

Gemma 3n E4B is 7 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

Gemma 3n E4B

Jun 26, 2025

10 months ago

6mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while DeepSeek VL2's cutoff date is not specified.

We can confirm Gemma 3n E4B's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

Gemma 3n E4B

Jun 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (129,280 tokens)
Has open weights
Google

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Google
Gemma 3n E4B

FAQ

Common questions about DeepSeek VL2 vs Gemma 3n E4B

DeepSeek VL2 (DeepSeek) and Gemma 3n E4B (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%.
DeepSeek VL2 supports 129K tokens and Gemma 3n E4B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 is developed by DeepSeek and Gemma 3n E4B is developed by Google.