Model Comparison

DeepSeek VL2 Tiny vs Llama 3.3 70B Instruct

Comparing DeepSeek VL2 Tiny and Llama 3.3 70B 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 3.3 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

Model Size

Parameter count comparison

67.0B diff

Llama 3.3 70B Instruct has 67.0B more parameters than DeepSeek VL2 Tiny, making it 2233.3% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
3.0B
DeepSeek VL2 Tiny
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Tiny supports multimodal inputs, whereas Llama 3.3 70B 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 3.3 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

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

DeepSeek VL2 Tiny

deepseek

Open weights

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Llama 3.3 70B Instruct was released on 2024-12-06.

DeepSeek VL2 Tiny is 0 month newer than Llama 3.3 70B Instruct.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

1w newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.4 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 3.3 70B Instruct

FAQ

Common questions about DeepSeek VL2 Tiny vs Llama 3.3 70B Instruct.

Which is better, DeepSeek VL2 Tiny or Llama 3.3 70B Instruct?

DeepSeek VL2 Tiny (DeepSeek) and Llama 3.3 70B 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 3.3 70B Instruct in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

What are the context window sizes for DeepSeek VL2 Tiny and Llama 3.3 70B Instruct?

DeepSeek VL2 Tiny supports an unknown number of tokens and Llama 3.3 70B 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 3.3 70B Instruct?

Key differences include multimodal support (yes vs no), licensing (deepseek vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and Llama 3.3 70B Instruct?

DeepSeek VL2 Tiny is developed by DeepSeek and Llama 3.3 70B Instruct is developed by Meta.