Model Comparison

DeepSeek VL2 Tiny vs DeepSeek VL2

DeepSeek VL2 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

14 benchmarks

DeepSeek VL2 Tiny outperforms in 0 benchmarks, while DeepSeek VL2 is better at 14 benchmarks (AI2D, ChartQA, DocVQA, InfoVQA, MathVista, MMBench, MMBench-V1.1, MME, MMMU, MMStar, MMT-Bench, OCRBench, RealWorldQA, TextVQA).

DeepSeek VL2 significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

24.0B diff

DeepSeek VL2 has 24.0B more parameters than DeepSeek VL2 Tiny, making it 800.0% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
DeepSeek
DeepSeek VL2
27.0Bparameters
3.0B
DeepSeek VL2 Tiny
27.0B
DeepSeek VL2

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 Tiny
Input- tokens
Output- tokens
DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Tiny and DeepSeek VL2 support multimodal inputs.

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

DeepSeek VL2 Tiny

Text
Images
Audio
Video

DeepSeek VL2

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under deepseek.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek VL2 Tiny

deepseek

Open weights

DeepSeek VL2

deepseek

Open weights

Release Timeline

When each model was launched

Both models were released on 2024-12-13.

They likely represent similar generations of model development.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

DeepSeek VL2

Dec 13, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

DeepSeek

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

DeepSeek
Larger context window (129,280 tokens)
Higher AI2D score (81.4% vs 71.6%)
Higher ChartQA score (86.0% vs 81.0%)
Higher DocVQA score (93.3% vs 88.9%)
Higher InfoVQA score (78.1% vs 66.1%)
Higher MathVista score (62.8% vs 53.6%)
Higher MMBench score (79.6% vs 69.2%)
Higher MMBench-V1.1 score (79.2% vs 68.3%)
Higher MME score (22.5% vs 19.1%)
Higher MMMU score (51.1% vs 40.7%)
Higher MMStar score (61.3% vs 45.9%)
Higher MMT-Bench score (63.6% vs 53.2%)
Higher OCRBench score (81.1% vs 80.9%)
Higher RealWorldQA score (68.4% vs 64.2%)
Higher TextVQA score (84.2% vs 80.7%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
DeepSeek
DeepSeek VL2

FAQ

Common questions about DeepSeek VL2 Tiny vs DeepSeek VL2.

Which is better, DeepSeek VL2 Tiny or DeepSeek VL2?

DeepSeek VL2 significantly outperforms across most benchmarks. DeepSeek VL2 Tiny is made by DeepSeek and DeepSeek VL2 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek VL2 Tiny compare to DeepSeek VL2 in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%.

What are the context window sizes for DeepSeek VL2 Tiny and DeepSeek VL2?

DeepSeek VL2 Tiny supports an unknown number of tokens and DeepSeek VL2 supports 129K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.