Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, 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-R1
DeepSeek
2025-01-20
Granite 3.3 8B Base
IBM
2025-04-16
2 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-R1
Granite 3.3 8B Base
Average performance across 7 common benchmarks
DeepSeek-R1
Granite 3.3 8B Base
Performance comparison across key benchmark categories
DeepSeek-R1
Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
Granite 3.3 8B Base
DeepSeek-R1
Granite 3.3 8B Base