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Olmo 3.1 32B Think: Pricing, Context Window & Benchmarks

32B

by AllenAI

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.

Chat with Olmo 3.1 32B Think
Input Price
$0.00/1M tokens
Output Price
$0.00/1M tokens
Intelligence
14.2
Coding
9.8

What you can do with Olmo 3.1 32B Think

Everyday Q&A and clear explanations

Writing help (emails, posts, summaries)

Idea generation and brainstorming

Learning support with step-by-step guidance

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Highlights

5 tests
GPQA
59.1%
MMLU Pro
76.3%
LiveCodeBench
69.5%
Math 500
N/A
AIME 2025
77.3%
HLE
6.0%
Metric Value
Provider AllenAI
Context Window 65,536 tokens
Input Price $0.00/1M tokens
Output Price $0.00/1M tokens
Release Date Dec 12, 2025
Modalities text
Capabilities N/A

Compare Olmo 3.1 32B Think to other models

See how it stacks up on price, quality, and overall performance.

Frequently asked questions

What is Olmo 3.1 32B Think good for?

Use Olmo 3.1 32B Think for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.

How much does Olmo 3.1 32B Think cost?

Pricing is based on usage. Current rates are $0.00/1M tokens for input and $0.00/1M tokens for output.

Can I try Olmo 3.1 32B Think for free?

Yes. You can start a chat instantly and test the model before deciding on a plan.

Does Olmo 3.1 32B Think support images or audio?

Olmo 3.1 32B Think focuses on text-based tasks.

Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.