Model Comparison

DeepSeek VL2 vs Granite 3.3 8B Base

Comparing DeepSeek VL2 and Granite 3.3 8B Base across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Granite 3.3 8B Base 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

18.8B diff

DeepSeek VL2 has 18.8B more parameters than Granite 3.3 8B Base, making it 230.5% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
IBM
Granite 3.3 8B Base
8.2Bparameters
27.0B
DeepSeek VL2
8.2B
Granite 3.3 8B Base

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
IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and Granite 3.3 8B Base support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Granite 3.3 8B Base uses Apache 2.0.

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

DeepSeek VL2

deepseek

Open weights

Granite 3.3 8B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Granite 3.3 8B Base was released on 2025-04-16.

Granite 3.3 8B Base is 4 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

Granite 3.3 8B Base

Apr 16, 2025

1.1 years ago

4mo newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while DeepSeek VL2's cutoff date is not specified.

We can confirm Granite 3.3 8B Base's training data extends to 2024-04-01, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

Granite 3.3 8B Base

Apr 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (129,280 tokens)
IBM

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
IBM
Granite 3.3 8B Base

FAQ

Common questions about DeepSeek VL2 vs Granite 3.3 8B Base.

Which is better, DeepSeek VL2 or Granite 3.3 8B Base?

DeepSeek VL2 (DeepSeek) and Granite 3.3 8B Base (IBM) 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 compare to Granite 3.3 8B Base in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Granite 3.3 8B Base scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, HellaSwag: 80.1%.

What are the context window sizes for DeepSeek VL2 and Granite 3.3 8B Base?

DeepSeek VL2 supports 129K tokens and Granite 3.3 8B Base supports an unknown number of 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 and Granite 3.3 8B Base?

Key differences include licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Granite 3.3 8B Base?

DeepSeek VL2 is developed by DeepSeek and Granite 3.3 8B Base is developed by IBM.