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DeepSeek VL2 Tiny vs Gemma 3n E4B Instructed

DeepSeek VL2 Tiny and Gemma 3n E4B Instructed are closely matched at -4.7 and -4.7 on the LLM Stats Score.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek VL2 Tiny and Gemma 3n E4B Instructed are closely matched on the overall LLM Stats Score at -4.7 and -4.7.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek VL2 Tiny

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

Choose Gemma 3n E4B Instructed

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

At a glance

The differences that matter most.

DeepSeek VL2 Tiny
DeepSeek
Gemma 3n E4B Instructed
Google
Core performance indexes
LLM Stats Score
-4.7
#357
-4.7
#356
Reasoning
-12.7
#368
-5.5
#355
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$20.00 / M
Output price
— / M
$40.00 / M
Context window
—
32,000

Individual benchmarks

14 reported for DeepSeek VL2 Tiny · 18 for Gemma 3n E4B Instructed

No common benchmarks found

DeepSeek VL2 Tiny and Gemma 3n E4B Instructeddon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

5.0B diff

Gemma 3n E4B Instructed has 5.0B more parameters than DeepSeek VL2 Tiny, making it 166.7% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Google
Gemma 3n E4B Instructed
8.0Bparameters
3.0B
DeepSeek VL2 Tiny
8.0B
Gemma 3n E4B Instructed

Context Window

Maximum input and output token capacity

Only Gemma 3n E4B Instructed specifies input context (32,000 tokens). Only Gemma 3n E4B Instructed specifies output context (32,000 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Tiny and Gemma 3n E4B Instructed support multimodal inputs.

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

DeepSeek VL2 Tiny

Text
Images
Audio
Video

Gemma 3n E4B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

DeepSeek VL2 Tiny

deepseek

Open weights

Gemma 3n E4B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

DeepSeek VL2 Tiny

Dec 13, 2024

1.8 years ago

Gemma 3n E4B Instructed

Jun 26, 2025

1.2 years ago

6mo newer

Knowledge Cutoff

When training data ends

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

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

DeepSeek VL2 Tiny

—

Gemma 3n E4B Instructed

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek VL2 Tiny and Gemma 3n E4B Instructed side-by-side, then vote on the output you prefer.

DeepSeek VL2 Tiny
✓ Preferred
Gemma 3n E4B Instructed
Open in Playground

FAQ

Common questions about DeepSeek VL2 Tiny vs Gemma 3n E4B Instructed.

Which is better, DeepSeek VL2 Tiny or Gemma 3n E4B Instructed?

DeepSeek VL2 Tiny and Gemma 3n E4B Instructed are closely matched on the LLM Stats Score at -4.7 and -4.7. DeepSeek VL2 Tiny is made by DeepSeek and Gemma 3n E4B Instructed is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek VL2 Tiny compare to Gemma 3n E4B Instructed in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%.

What are the context window sizes for DeepSeek VL2 Tiny and Gemma 3n E4B Instructed?

DeepSeek VL2 Tiny supports an unknown number of tokens and Gemma 3n E4B Instructed supports 32K 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 Tiny and Gemma 3n E4B Instructed?

Key differences include LLM Stats Score (-4.7 vs -4.7), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and Gemma 3n E4B Instructed?

DeepSeek VL2 Tiny is developed by DeepSeek and Gemma 3n E4B Instructed is developed by Google.

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