Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
IBM
Granite 4.0 Tiny Preview was introduced as an experimental ultra-compact model, designed to demonstrate IBM's progress in efficient model development. Built to explore the boundaries of what small models can achieve for enterprise applications, it represents an early look at next-generation Granite capabilities.
3 months newer

DeepSeek R1 Zero
DeepSeek
2025-01-20

IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
Available providers and their performance metrics

DeepSeek R1 Zero

IBM Granite 4.0 Tiny Preview

DeepSeek R1 Zero

IBM Granite 4.0 Tiny Preview