Model Comparison

DeepSeek-V3 0324 vs Granite 3.3 8B Base

Both models are evenly matched across the benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3 0324 outperforms in 1 benchmarks (MATH-500), while Granite 3.3 8B Base is better at 1 benchmark (AIME 2024).

Both models are evenly matched across the benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

662.8B diff

DeepSeek-V3 0324 has 662.8B more parameters than Granite 3.3 8B Base, making it 8113.0% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
IBM
Granite 3.3 8B Base
8.2Bparameters
671.0B
DeepSeek-V3 0324
8.2B
Granite 3.3 8B Base

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Base supports multimodal inputs, whereas DeepSeek-V3 0324 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-V3 0324

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), 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-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Granite 3.3 8B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Granite 3.3 8B Base was released on 2025-04-16.

Granite 3.3 8B Base is 1 month newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.2 years ago

Granite 3.3 8B Base

Apr 16, 2025

1.1 years ago

3w newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while DeepSeek-V3 0324'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-V3 0324's cutoff date.

DeepSeek-V3 0324

Granite 3.3 8B Base

Apr 2024

Outputs Comparison

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Key Takeaways

Larger context window (163,840 tokens)
Higher MATH-500 score (94.0% vs 69.0%)
Supports multimodal inputs
Higher AIME 2024 score (81.2% vs 59.4%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
IBM
Granite 3.3 8B Base

FAQ

Common questions about DeepSeek-V3 0324 vs Granite 3.3 8B Base.

Which is better, DeepSeek-V3 0324 or Granite 3.3 8B Base?

Both models are evenly matched across the benchmarks. DeepSeek-V3 0324 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-V3 0324 compare to Granite 3.3 8B Base in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. 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-V3 0324 and Granite 3.3 8B Base?

DeepSeek-V3 0324 supports 164K 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-V3 0324 and Granite 3.3 8B Base?

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

Who makes DeepSeek-V3 0324 and Granite 3.3 8B Base?

DeepSeek-V3 0324 is developed by DeepSeek and Granite 3.3 8B Base is developed by IBM.