Model Comparison

DeepSeek VL2 Small vs Llama-3.3 Nemotron Super 49B v1

Comparing DeepSeek VL2 Small and Llama-3.3 Nemotron Super 49B v1 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Small and Llama-3.3 Nemotron Super 49B v1 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

33.9B diff

Llama-3.3 Nemotron Super 49B v1 has 33.9B more parameters than DeepSeek VL2 Small, making it 211.9% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
16.0B
DeepSeek VL2 Small
49.9B
Llama-3.3 Nemotron Super 49B v1

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Small supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 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-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Llama-3.3 Nemotron Super 49B v1 uses Llama 3.1 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-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

Llama-3.3 Nemotron Super 49B v1 is 3 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.4 years ago

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.2 years ago

3mo newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while DeepSeek VL2 Small's cutoff date is not specified.

We can confirm Llama-3.3 Nemotron Super 49B v1's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek VL2 Small's cutoff date.

DeepSeek VL2 Small

—

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

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Key Takeaways

DeepSeek
Supports multimodal inputs
NVIDIA

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Small
NVIDIA
Llama-3.3 Nemotron Super 49B v1

FAQ

Common questions about DeepSeek VL2 Small vs Llama-3.3 Nemotron Super 49B v1.

Which is better, DeepSeek VL2 Small or Llama-3.3 Nemotron Super 49B v1?

DeepSeek VL2 Small (DeepSeek) and Llama-3.3 Nemotron Super 49B v1 (NVIDIA) 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-3.3 Nemotron Super 49B v1 in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Llama-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%.

What are the main differences between DeepSeek VL2 Small and Llama-3.3 Nemotron Super 49B v1?

Key differences include multimodal support (yes vs no), licensing (deepseek vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and Llama-3.3 Nemotron Super 49B v1?

DeepSeek VL2 Small is developed by DeepSeek and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.