Model Comparison
DeepSeek-V2.5 vs Granite 3.3 8B Base
DeepSeek-V2.5 has a slight edge in benchmark performance.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V2.5 outperforms in 3 benchmarks (Arena Hard, GSM8k, MMLU), while Granite 3.3 8B Base is better at 2 benchmarks (AlpacaEval 2.0, HumanEval).
DeepSeek-V2.5 has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
DeepSeek-V2.5 has 227.8B more parameters than Granite 3.3 8B Base, making it 2788.6% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).
Input Capabilities
Supported data types and modalities
Granite 3.3 8B Base supports multimodal inputs, whereas DeepSeek-V2.5 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-V2.5
Granite 3.3 8B Base
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, 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
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while Granite 3.3 8B Base was released on 2025-04-16.
Granite 3.3 8B Base is 11 months newer than DeepSeek-V2.5.
May 8, 2024
2.0 years ago
Apr 16, 2025
1.1 years ago
11mo newerKnowledge Cutoff
When training data ends
Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while DeepSeek-V2.5'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-V2.5's cutoff date.
—
Apr 2024
Outputs Comparison
Key Takeaways
DeepSeek-V2.5
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek-V2.5 vs Granite 3.3 8B Base.