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.

IBM Granite 4.0 Tiny Preview
IBM
IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). 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

IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
3 months newer
Performance Metrics
Context window and performance specifications

DeepSeek-R1

IBM Granite 4.0 Tiny Preview
Average performance across 5 common benchmarks

DeepSeek-R1

IBM Granite 4.0 Tiny Preview
Performance comparison across key benchmark categories

DeepSeek-R1

IBM Granite 4.0 Tiny Preview
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek

IBM Granite 4.0 Tiny Preview

DeepSeek-R1

IBM Granite 4.0 Tiny Preview