DeepSeek-V3.2 (Non-thinking) vs Granite 3.3 8B Instruct Comparison

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2 (Non-thinking) and Granite 3.3 8B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 (Non-thinking) costs less

For input processing, DeepSeek-V3.2 (Non-thinking) ($0.28/1M tokens) is 1.8x cheaper than Granite 3.3 8B Instruct ($0.50/1M tokens).

For output processing, DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens) is 1.2x cheaper than Granite 3.3 8B Instruct ($0.50/1M tokens).

In conclusion, Granite 3.3 8B Instruct is more expensive than DeepSeek-V3.2 (Non-thinking).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
IBM
Granite 3.3 8B Instruct
Input tokens$0.50
Output tokens$0.50
Best providerReplicate
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

677.0B diff

DeepSeek-V3.2 (Non-thinking) has 677.0B more parameters than Granite 3.3 8B Instruct, making it 8462.5% larger.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
685.0Bparameters
IBM
Granite 3.3 8B Instruct
8.0Bparameters
685.0B
DeepSeek-V3.2 (Non-thinking)
8.0B
Granite 3.3 8B Instruct

Context Window

Maximum input and output token capacity

DeepSeek-V3.2 (Non-thinking) accepts 131,072 input tokens compared to Granite 3.3 8B Instruct's 128,000 tokens. Both models can generate responses up to 8,192 tokens.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input131,072 tokens
Output8,192 tokens
IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Instruct supports multimodal inputs, whereas DeepSeek-V3.2 (Non-thinking) does not.

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

DeepSeek-V3.2 (Non-thinking)

Text
Images
Audio
Video

Granite 3.3 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2 (Non-thinking) is licensed under MIT, while Granite 3.3 8B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3.2 (Non-thinking)

MIT

Open weights

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while Granite 3.3 8B Instruct was released on 2025-04-16.

DeepSeek-V3.2 (Non-thinking) is 8 months newer than Granite 3.3 8B Instruct.

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

3 months ago

7mo newer
Granite 3.3 8B Instruct

Apr 16, 2025

11 months ago

Knowledge Cutoff

When training data ends

Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while DeepSeek-V3.2 (Non-thinking)'s cutoff date is not specified.

We can confirm Granite 3.3 8B Instruct's training data extends to 2024-04-01, but cannot make a direct comparison without DeepSeek-V3.2 (Non-thinking)'s cutoff date.

DeepSeek-V3.2 (Non-thinking)

Granite 3.3 8B Instruct

Apr 2024

Provider Availability

DeepSeek-V3.2 (Non-thinking) is available from DeepSeek. Granite 3.3 8B Instruct is available from Replicate. The availability of providers can affect quality of the model and reliability.

DeepSeek-V3.2 (Non-thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

Granite 3.3 8B Instruct

replicate logo
Replicate
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Supports multimodal inputs

Detailed Comparison