Model Comparison

DeepSeek VL2 Small vs Llama 3.2 3B InstructWhich is better in 2026?

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

Verdict: DeepSeek VL2 Small vs Llama 3.2 3B Instruct — which is better?

DeepSeek VL2 Small (by DeepSeek) and Llama 3.2 3B Instruct (by Meta) 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 Small if…

  • you want the most recent training data — it shipped Dec 2024

Choose Llama 3.2 3B Instruct if…

  • you want predictable pricing at $0.01/M input and $0.02/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Small and Llama 3.2 3B Instructdon'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

12.8B diff

DeepSeek VL2 Small has 12.8B more parameters than Llama 3.2 3B Instruct, making it 398.4% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
Meta
Llama 3.2 3B Instruct
3.2Bparameters
16.0B
DeepSeek VL2 Small
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 Small
Input- tokens
Output- tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Small supports multimodal inputs, whereas Llama 3.2 3B Instruct does not.

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

DeepSeek VL2 Small

Text
Images
Audio
Video

Llama 3.2 3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small 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 Small

deepseek

Open weights

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek VL2 Small

Dec 13, 2024

1.6 years ago

2mo newer
Llama 3.2 3B Instruct

Sep 25, 2024

1.8 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

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 Small and Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
Llama 3.2 3B Instruct
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Small
Meta
Llama 3.2 3B Instruct

FAQ

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

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

DeepSeek VL2 Small (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 Small compare to Llama 3.2 3B Instruct in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. 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 Small and Llama 3.2 3B Instruct?

DeepSeek VL2 Small 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 Small 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 Small and Llama 3.2 3B Instruct?

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

Related comparisons