AllenAI: Olmo 3 32B Think
🧠 AI Modelallenai
32B parameter LLM optimized for deep reasoning and complex instruction following.
Olmo 3 32B Think is a large-scale language model with 32 billion parameters, purpose-built for deep reasoning, complex logic chains, and advanced instruction-following scenarios. Developed by the Allen Institute for AI (AllenAI), it excels on demanding evaluation tasks that require step-by-step reasoning and coherent multi-turn interactions. The model offers a context length of 65,536 tokens, enabling it to handle lengthy documents and extended dialogues. It is accessible via the OpenRouter platform with pricing of $0.15 per million input tokens and $0.50 per million output tokens. Key features include support for frequency and presence penalties, logit bias, repetition penalty, and structured response formats. It also includes a dedicated reasoning parameter for chain-of-thought generation. The model is optimized for both efficiency and accuracy, making it suitable for research, development, and production deployment in reasoning-intensive applications.
💡Highlights
- ├─32B parameters, optimized for reasoning
- ├─65K token context window
- └─Supports chain-of-thought and structured output
🎯For
- ├─AI researchers
- ├─reasoning application developers
- └─NLP practitioners