AllenAI: Olmo 3.1 32B Think
Analysis Summary
AllenAI Olmo 3.1 32B Think is a reasoning-oriented open model with an intelligence index of 13.9 and a strong math index of 77.3. Its ifbench score of 0.660 is above average for its tier, suggesting reliable instruction following for structured content tasks. The 65K context window is adequate for most document workflows.
For businesses, it suits analytical content generation, structured report drafting, and tasks requiring precise instruction adherence. Coding capability is limited (coding index 9.8), and there is no agentic index, so it is not suited for autonomous agent or software engineering workflows.
At $0.15 input and $0.50 output per 1M tokens, it is cost-effective for content and analysis tasks. Teams looking for a budget-friendly model with above-average instruction following for editorial or research workflows will find it a practical choice.
Assessed June 6, 2026
Editorial notes
AllenAI Olmo 3.1 32B Think has strong math and instruction-following scores with competitive pricing, though coding and agentic capability are limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How AllenAI: Olmo 3.1 32B Think compares
AllenAI: Olmo 3.1 32B Think ranks #253 of 377 AI models we track for overall intelligence, #243 of 314 for coding. Its 66K-token context window is larger than 34% of the models we list. At $0.15 per million input tokens it is cheaper than 57% of comparable models.
About AllenAI: Olmo 3.1 32B Think
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 initiativeās 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 professional 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 |
Leaderboard Categories
External Resources
Frequently asked questions about AllenAI: Olmo 3.1 32B Think
How much does AllenAI: Olmo 3.1 32B Think cost?
AllenAI: Olmo 3.1 32B Think costs $0.15 per million input tokens and $0.50 per million output tokens.
What is the context window of AllenAI: Olmo 3.1 32B Think?
AllenAI: Olmo 3.1 32B Think has a context window of 65,536 tokens (66K).
Is AllenAI: Olmo 3.1 32B Think good for coding?
On our coding benchmark index, AllenAI: Olmo 3.1 32B Think ranks #243 of 314 models, placing it in the broader range of the field for code generation and debugging.
Who created AllenAI: Olmo 3.1 32B Think?
AllenAI: Olmo 3.1 32B Think is developed by AllenAI and was released on December 16, 2025.
