Model Comparison

DeepSeek VL2 Tiny vs Llama 3.1 405B Instruct

Comparing DeepSeek VL2 Tiny and Llama 3.1 405B 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 3.1 405B 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
Sat May 02 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Tiny
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meta
Llama 3.1 405B Instruct
Input tokens$0.89
Output tokens$0.89
Best providerLambda
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Model Size

Parameter count comparison

402.0B diff

Llama 3.1 405B Instruct has 402.0B more parameters than DeepSeek VL2 Tiny, making it 13400.0% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Meta
Llama 3.1 405B Instruct
405.0Bparameters
3.0B
DeepSeek VL2 Tiny
405.0B
Llama 3.1 405B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.1 405B Instruct specifies input context (128,000 tokens). Only Llama 3.1 405B Instruct specifies output context (128,000 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Tiny supports multimodal inputs, whereas Llama 3.1 405B 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 3.1 405B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Llama 3.1 405B 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 Tiny

deepseek

Open weights

Llama 3.1 405B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Llama 3.1 405B Instruct was released on 2024-07-23.

DeepSeek VL2 Tiny is 5 months newer than Llama 3.1 405B Instruct.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

4mo newer
Llama 3.1 405B Instruct

Jul 23, 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

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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 3.1 405B Instruct

FAQ

Common questions about DeepSeek VL2 Tiny vs Llama 3.1 405B Instruct

DeepSeek VL2 Tiny (DeepSeek) and Llama 3.1 405B Instruct (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Llama 3.1 405B Instruct scores ARC-C: 96.9%, GSM8k: 96.8%, API-Bank: 92.0%, Multilingual MGSM (CoT): 91.6%, HumanEval: 89.0%.
DeepSeek VL2 Tiny supports an unknown number of tokens and Llama 3.1 405B Instruct supports 128K 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 Tiny is developed by DeepSeek and Llama 3.1 405B Instruct is developed by Meta.