Model Comparison

DeepSeek VL2 Tiny vs DeepSeek-V3 0324Which is better in 2026?

Comparing DeepSeek VL2 Tiny and DeepSeek-V3 0324 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek VL2 Tiny vs DeepSeek-V3 0324 — which is better?

DeepSeek VL2 Tiny (by DeepSeek) and DeepSeek-V3 0324 (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek VL2 Tiny if…

  • you are already invested in the DeepSeek ecosystem

Choose DeepSeek-V3 0324 if…

  • you want the most recent training data — it shipped Mar 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and DeepSeek-V3 0324don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

668.0B diff

DeepSeek-V3 0324 has 668.0B more parameters than DeepSeek VL2 Tiny, making it 22266.7% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
DeepSeek
DeepSeek-V3 0324
671.0Bparameters
3.0B
DeepSeek VL2 Tiny
671.0B
DeepSeek-V3 0324

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Mon Jun 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Tiny supports multimodal inputs, whereas DeepSeek-V3 0324 does not.

DeepSeek VL2 Tiny can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2 Tiny

Text
Images
Audio
Video

DeepSeek-V3 0324

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while DeepSeek-V3 0324 uses MIT + Model License (Commercial use allowed).

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

DeepSeek VL2 Tiny

deepseek

Open weights

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while DeepSeek-V3 0324 was released on 2025-03-25.

DeepSeek-V3 0324 is 3 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.5 years ago

DeepSeek-V3 0324

Mar 25, 2025

1.2 years ago

3mo newer

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Supports multimodal inputs
DeepSeek
Larger context window (163,840 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
DeepSeek
DeepSeek-V3 0324

FAQ

Common questions about DeepSeek VL2 Tiny vs DeepSeek-V3 0324.

Which is better, DeepSeek VL2 Tiny or DeepSeek-V3 0324?

DeepSeek VL2 Tiny (DeepSeek) and DeepSeek-V3 0324 (DeepSeek) 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 Tiny compare to DeepSeek-V3 0324 in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%.

What are the context window sizes for DeepSeek VL2 Tiny and DeepSeek-V3 0324?

DeepSeek VL2 Tiny supports an unknown number of tokens and DeepSeek-V3 0324 supports 164K 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 DeepSeek-V3 0324?

Key differences include multimodal support (yes vs no), licensing (deepseek vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.

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