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DeepSeek VL2 vs Gemma 3n E2B

Comparing DeepSeek VL2 and Gemma 3n E2B across benchmarks, pricing, and capabilities.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek VL2 and Gemma 3n E2B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek VL2

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

Choose Gemma 3n E2B

  • you want the most recent training data — it shipped Jun 2025

At a glance

The differences that matter most.

DeepSeek VL2
DeepSeek
Gemma 3n E2B
Google
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
129,280
—
Released
Dec 2024
Jun 2025
License
deepseek
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Gemma 3n E2Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

19.0B diff

DeepSeek VL2 has 19.0B more parameters than Gemma 3n E2B, making it 237.5% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Google
Gemma 3n E2B
8.0Bparameters
27.0B
DeepSeek VL2
8.0B
Gemma 3n E2B

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
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and Gemma 3n E2B 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

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Gemma 3n E2B 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 E2B

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Gemma 3n E2B was released on 2025-06-26.

Gemma 3n E2B is 7 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.7 years ago

Gemma 3n E2B

Jun 26, 2025

1.2 years ago

6mo newer

Knowledge Cutoff

When training data ends

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

We can confirm Gemma 3n E2B'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

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek VL2 and Gemma 3n E2B side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Gemma 3n E2B
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs Gemma 3n E2B.

Which is better, DeepSeek VL2 or Gemma 3n E2B?

DeepSeek VL2 (DeepSeek) and Gemma 3n E2B (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 in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Gemma 3n E2B 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?

DeepSeek VL2 supports 129K tokens and Gemma 3n E2B 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?

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

Who makes DeepSeek VL2 and Gemma 3n E2B?

DeepSeek VL2 is developed by DeepSeek and Gemma 3n E2B is developed by Google.

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