AI models
Olmo 3.1 32B Think
Parameters
32B
Published
Nov 20, 2025
Olmo 3.1 32B Think is an AI model developed by Allen Institute for AI, University of Washington, Carnegie Mellon University (CMU), Stanford University, Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), University of Montreal / Université de Montréal and 3 more (United States and Canada), first published in November 2025. It works in the language domain, on tasks such as language modeling/generation, chat, code generation and 2 more.
Epoch AI has no training-compute estimate for this model. The model has 32,000,000,000 parameters. Training ran on 1,024 NVIDIA H100 SXM5 80GB.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Allen Institute for AI, University of Washington, Carnegie Mellon University (CMU), Stanford University, Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), University of Montreal / Université de Montréal, Princeton University, Massachusetts Institute of Technology (MIT), University of Maryland
- Country of organization
- United States, Canada
- Domain
- Language
- Task
- Language modeling/generation, Chat, Code generation, Mathematical reasoning, Tool use
- Parameters
- 32,000,000,000
- Training hardware
- NVIDIA H100 SXM5 80GB
- Chips used
- 1,024
- Training power draw
- 1.4 MW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Likely
More from Allen Institute for AI,University of Washington,Carnegie Mellon University (CMU),Stanford University,Mila - Quebec AI (originally Montreal Institute for Learning Algorithms),University of Montreal / Université de Montréal,Princeton University,Massachusetts Institute of Technology (MIT),University of Maryland
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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