Model Comparison

DeepSeek-R1-0528 vs Granite 3.3 8B Base

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-R1-0528 outperforms in 1 benchmarks (AIME 2024), while Granite 3.3 8B Base is better at 0 benchmarks.

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Fri May 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

662.8B diff

DeepSeek-R1-0528 has 662.8B more parameters than Granite 3.3 8B Base, making it 8113.0% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
IBM
Granite 3.3 8B Base
8.2Bparameters
671.0B
DeepSeek-R1-0528
8.2B
Granite 3.3 8B Base

Context Window

Maximum input and output token capacity

Only DeepSeek-R1-0528 specifies input context (131,072 tokens). Only DeepSeek-R1-0528 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Fri May 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Base supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

Granite 3.3 8B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-R1-0528

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, 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-R1-0528

MIT

Open weights

Granite 3.3 8B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Granite 3.3 8B Base was released on 2025-04-16.

DeepSeek-R1-0528 is 1 month newer than Granite 3.3 8B Base.

DeepSeek-R1-0528

May 28, 2025

11 months ago

1mo newer
Granite 3.3 8B Base

Apr 16, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while DeepSeek-R1-0528'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-R1-0528's cutoff date.

DeepSeek-R1-0528

—

Granite 3.3 8B Base

Apr 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Higher AIME 2024 score (91.4% vs 81.2%)
IBM
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
IBM
Granite 3.3 8B Base

FAQ

Common questions about DeepSeek-R1-0528 vs Granite 3.3 8B Base.

Which is better, DeepSeek-R1-0528 or Granite 3.3 8B Base?

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and Granite 3.3 8B Base is made by IBM. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-R1-0528 compare to Granite 3.3 8B Base in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. 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-R1-0528 and Granite 3.3 8B Base?

DeepSeek-R1-0528 supports 131K 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-R1-0528 and Granite 3.3 8B Base?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1-0528 and Granite 3.3 8B Base?

DeepSeek-R1-0528 is developed by DeepSeek and Granite 3.3 8B Base is developed by IBM.