AllenAI: Olmo 3 32B Think
AllenAI's Olmo 3 32B Think is an open research model with a very low intelligence index despite some reasonable math and MMLU Pro scores — its near-zero agentic index and limited context window make it unsuitable for most business workflows, though it may interest researchers exploring open-weight models.
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 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding evaluation tasks and highly nuanced conversational reasoning. Developed by Ai2 under the Apache 2.0 license, Olmo 3 32B Think embodies the Olmo initiative’s commitment to openness, offering full transparency across 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.
