Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
Granite 3.3 8B Base
IBM
Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.
DeepSeek-V3
DeepSeek
2024-12-25
Granite 3.3 8B Base
IBM
2025-04-16
3 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3
Granite 3.3 8B Base
Average performance across 5 common benchmarks
DeepSeek-V3
Granite 3.3 8B Base
Performance comparison across key benchmark categories
DeepSeek-V3
Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Granite 3.3 8B Base
DeepSeek-V3
Granite 3.3 8B Base