AllenAI: Olmo 3.1 32B Think
AllenAI's Olmo 3.1 32B Think shows strong mathematics performance but weak coding and reasoning scores overall, and the 65K context window is limiting for business use. At its price point it offers some value for research-oriented tasks but is not competitive for general business applications.
Assessment date: March 12, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Olmo 3.1 32B Think is a large-scale, 32-billion-parameter model designed for deep reasoning, complex multi-step logic, and advanced instruction following. Building on the Olmo 3 series, version 3.1 delivers refined reasoning behavior and stronger performance across demanding evaluations and nuanced conversational tasks. Developed by Ai2 under the Apache 2.0 license, Olmo 3.1 32B Think continues the Olmo initiative’s commitment to openness, providing full transparency across model weights, code, and training methodology.
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
| Parameters | 32B |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Evaluations
Benchmark data from Artificial Analysis and Hugging Face
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.50 | $0.000500 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
