Model Comparison

DeepSeek VL2 vs Llama 3.1 Nemotron 70B Instruct

Comparing DeepSeek VL2 and Llama 3.1 Nemotron 70B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Llama 3.1 Nemotron 70B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
DeepSeek
DeepSeek VL2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

43.0B diff

Llama 3.1 Nemotron 70B Instruct has 43.0B more parameters than DeepSeek VL2, making it 159.3% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
NVIDIA
Llama 3.1 Nemotron 70B Instruct
70.0Bparameters
27.0B
DeepSeek VL2
70.0B
Llama 3.1 Nemotron 70B Instruct

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
Input129,280 tokens
Output129,280 tokens
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct does not.

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

DeepSeek VL2

Text
Images
Audio
Video

Llama 3.1 Nemotron 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Llama 3.1 Nemotron 70B Instruct uses Llama 3.1 Community License.

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

DeepSeek VL2

deepseek

Open weights

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

DeepSeek VL2 is 2 months newer than Llama 3.1 Nemotron 70B Instruct.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

2mo newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while DeepSeek VL2's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron 70B Instruct's training data extends to 2023-12-01, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (129,280 tokens)
Supports multimodal inputs
NVIDIA

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
NVIDIA
Llama 3.1 Nemotron 70B Instruct

FAQ

Common questions about DeepSeek VL2 vs Llama 3.1 Nemotron 70B Instruct

DeepSeek VL2 (DeepSeek) and Llama 3.1 Nemotron 70B Instruct (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.
DeepSeek VL2 supports 129K tokens and Llama 3.1 Nemotron 70B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
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.
DeepSeek VL2 is developed by DeepSeek and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.