AllenAI: Olmo 3.1 32B Think
Analysis Summary
AllenAI: Olmo 3.1 32B Think sits in the Efficient tier on our leaderboard, ranked #193 of 544 published models on overall intelligence. At $0.150 input and $0.500 output per 1M tokens, it is among the most expensive on the market. It offers a mid-sized context window.
Editorial notes
Olmo 3.1 32B Think from AllenAI shows strong instruction following and math scores but a low intelligence index and no agentic data, limiting its use to narrow reasoning or academic tasks.
Assessed May 5, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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.
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does AllenAI: Olmo 3.1 32B Think stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
allenai/olmo-3.1-32b-think
|
| Provider | allenai |
| Release Date | December 16, 2025 |
| Context Length | 65,536 tokens |
| Max Completion | 65,536 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.50 | $0.000500 |
