Model Comparison

DeepSeek-R1-0528 vs Granite 3.3 8B BaseWhich is better in 2026?

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Verdict: DeepSeek-R1-0528 vs Granite 3.3 8B Base — which is better?

DeepSeek-R1-0528 (by DeepSeek) and Granite 3.3 8B Base (by IBM) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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.

Choose DeepSeek-R1-0528 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped May 2025

Choose Granite 3.3 8B Base if…

  • you are already invested in the IBM ecosystem
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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.

Sat Jun 13 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
Sat Jun 13 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

1.0 years ago

1mo newer
Granite 3.3 8B Base

Apr 16, 2025

1.2 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.

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