Model Comparison

DeepSeek-V3.2-Exp vs Granite 3.3 8B Base

Comparing DeepSeek-V3.2-Exp 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-V3.2-Exp 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

676.8B diff

DeepSeek-V3.2-Exp has 676.8B more parameters than Granite 3.3 8B Base, making it 8284.3% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
IBM
Granite 3.3 8B Base
8.2Bparameters
685.0B
DeepSeek-V3.2-Exp
8.2B
Granite 3.3 8B Base

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Exp specifies input context (163,840 tokens). Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Base supports multimodal inputs, whereas DeepSeek-V3.2-Exp 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-V3.2-Exp

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp 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-V3.2-Exp

MIT

Open weights

Granite 3.3 8B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Granite 3.3 8B Base was released on 2025-04-16.

DeepSeek-V3.2-Exp is 6 months newer than Granite 3.3 8B Base.

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

5mo 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-V3.2-Exp'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-V3.2-Exp's cutoff date.

DeepSeek-V3.2-Exp

—

Granite 3.3 8B Base

Apr 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
IBM
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
IBM
Granite 3.3 8B Base

FAQ

Common questions about DeepSeek-V3.2-Exp vs Granite 3.3 8B Base.

Which is better, DeepSeek-V3.2-Exp or Granite 3.3 8B Base?

DeepSeek-V3.2-Exp (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-V3.2-Exp compare to Granite 3.3 8B Base in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. 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-V3.2-Exp and Granite 3.3 8B Base?

DeepSeek-V3.2-Exp 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-V3.2-Exp 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-V3.2-Exp and Granite 3.3 8B Base?

DeepSeek-V3.2-Exp is developed by DeepSeek and Granite 3.3 8B Base is developed by IBM.