DeepSeek R1 Distill Qwen 32B vs Granite 3.3 8B Base Comparison

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 2 benchmarks (AIME 2024, MATH-500), while Granite 3.3 8B Base is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Wed Mar 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Mar 18 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
IBM
Granite 3.3 8B Base
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

24.6B diff

DeepSeek R1 Distill Qwen 32B has 24.6B more parameters than Granite 3.3 8B Base, making it 301.5% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
IBM
Granite 3.3 8B Base
8.2Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
8.2B
Granite 3.3 8B Base

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Wed Mar 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Base supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B 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 Distill Qwen 32B

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B 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 Distill Qwen 32B

MIT

Open weights

Granite 3.3 8B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Granite 3.3 8B Base was released on 2025-04-16.

Granite 3.3 8B Base is 3 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.2 years ago

Granite 3.3 8B Base

Apr 16, 2025

11 months ago

2mo newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while DeepSeek R1 Distill Qwen 32B'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 Distill Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

Granite 3.3 8B Base

Apr 2024

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Higher AIME 2024 score (83.3% vs 81.2%)
Higher MATH-500 score (94.3% vs 69.0%)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
IBM
Granite 3.3 8B Base