Model Comparison

DeepSeek VL2 Tiny vs Gemma 3 4B

DeepSeek VL2 Tiny significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek VL2 Tiny outperforms in 4 benchmarks (ChartQA, DocVQA, InfoVQA, TextVQA), while Gemma 3 4B is better at 1 benchmark (AI2D).

DeepSeek VL2 Tiny significantly outperforms across most benchmarks.

Sun Apr 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sun Apr 19 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Tiny
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
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Model Size

Parameter count comparison

1.0B diff

Gemma 3 4B has 1.0B more parameters than DeepSeek VL2 Tiny, making it 33.3% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Google
Gemma 3 4B
4.0Bparameters
3.0B
DeepSeek VL2 Tiny
4.0B
Gemma 3 4B

Context Window

Maximum input and output token capacity

Only Gemma 3 4B specifies input context (131,072 tokens). Only Gemma 3 4B specifies output context (131,072 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Sun Apr 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Tiny and Gemma 3 4B 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 3 4B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Gemma 3 4B uses Gemma.

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

DeepSeek VL2 Tiny

deepseek

Open weights

Gemma 3 4B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Gemma 3 4B was released on 2025-03-12.

Gemma 3 4B is 3 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.3 years ago

Gemma 3 4B

Mar 12, 2025

1.1 years ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while DeepSeek VL2 Tiny's cutoff date is not specified.

We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without DeepSeek VL2 Tiny's cutoff date.

DeepSeek VL2 Tiny

—

Gemma 3 4B

Aug 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Higher ChartQA score (81.0% vs 68.8%)
Higher DocVQA score (88.9% vs 75.8%)
Higher InfoVQA score (66.1% vs 50.0%)
Higher TextVQA score (80.7% vs 57.8%)
Google
Larger context window (131,072 tokens)
Higher AI2D score (74.8% vs 71.6%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Google
Gemma 3 4B

FAQ

Common questions about DeepSeek VL2 Tiny vs Gemma 3 4B

DeepSeek VL2 Tiny significantly outperforms across most benchmarks. DeepSeek VL2 Tiny is made by DeepSeek and Gemma 3 4B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%.
DeepSeek VL2 Tiny supports an unknown number of tokens and Gemma 3 4B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (deepseek vs Gemma). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 Tiny is developed by DeepSeek and Gemma 3 4B is developed by Google.