Model Comparison

DeepSeek VL2 Tiny vs Llama 3.2 3B Instruct

Comparing DeepSeek VL2 Tiny and Llama 3.2 3B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and Llama 3.2 3B Instruct don'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

210.0M diff

Llama 3.2 3B Instruct has 0.2B more parameters than DeepSeek VL2 Tiny, making it 7.0% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Meta
Llama 3.2 3B Instruct
3.2Bparameters
3.0B
DeepSeek VL2 Tiny
3.2B
Llama 3.2 3B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 3B Instruct specifies input context (128,000 tokens). Only Llama 3.2 3B Instruct specifies output context (128,000 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Tiny supports multimodal inputs, whereas Llama 3.2 3B Instruct 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

Llama 3.2 3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Llama 3.2 3B Instruct uses Llama 3.2 Community License.

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

DeepSeek VL2 Tiny

deepseek

Open weights

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Llama 3.2 3B Instruct was released on 2024-09-25.

DeepSeek VL2 Tiny is 3 months newer than Llama 3.2 3B Instruct.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

2mo newer
Llama 3.2 3B Instruct

Sep 25, 2024

1.7 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Supports multimodal inputs
Meta
Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Meta
Llama 3.2 3B Instruct

FAQ

Common questions about DeepSeek VL2 Tiny vs Llama 3.2 3B Instruct.

Which is better, DeepSeek VL2 Tiny or Llama 3.2 3B Instruct?

DeepSeek VL2 Tiny (DeepSeek) and Llama 3.2 3B Instruct (Meta) 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 Llama 3.2 3B Instruct in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%.

What are the context window sizes for DeepSeek VL2 Tiny and Llama 3.2 3B Instruct?

DeepSeek VL2 Tiny supports an unknown number of tokens and Llama 3.2 3B Instruct supports 128K 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 Llama 3.2 3B Instruct?

Key differences include multimodal support (yes vs no), licensing (deepseek vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and Llama 3.2 3B Instruct?

DeepSeek VL2 Tiny is developed by DeepSeek and Llama 3.2 3B Instruct is developed by Meta.