Allen AI: Olmo 3.1 32B Think
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OLMo 3.1 32B Think is the updated flagship reasoning model from the Allen Institute for AI (AI2), an improved successor to OLMo 3 32B Think with an additional 21 days of extended reinforcement learning training.
The extended training yielded gains of 5+ points on AIME, 4+ points on ZebraLogic and IFEval, and 20+ points on IFBench over its predecessor. It supports a 64K context window and is licensed under Apache 2.0 with full training transparency.
For API developers needing a high-performance open reasoning model for math, code, and complex instruction-following, OLMo 3.1 32B Think is AI2's most capable reasoning offering, competitive with Qwen 3 32B at the same scale.
Context Window 66K
tokens
Max Output 66K
tokens
Input Cost $0.15
per million tokens
Output Cost $0.5
per million tokens
Release Date Dec 10, 2025
Code Example
Add AI to your app with the Puter.js AI API — no API keys or setup required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms").then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms").then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
More AI Models From Allen AI
Olmo 3.1 32B Instruct
OLMo 3.1 32B Instruct is a fully open instruction-tuned language model from the Allen Institute for AI (AI2), designed for chat, tool use, and multi-turn dialogue at the 32B parameter scale. AI2 positions it as the most capable fully open 32B-scale instruct model, with strong performance on math (GSM8K, MATH), coding (HumanEval, MBPP+), and instruction-following (IFEval). It uses a hybrid attention architecture and maintains strong long-context retrieval performance (96.1 on RULER at 4K). Released under Apache 2.0 with full data and training transparency, it's a well-rounded choice for instruction-following, tool-augmented, or multi-turn chat applications.
ChatOlmo 3 32B Think
OLMo 3 32B Think is a fully open reasoning model from the Allen Institute for AI (AI2), and the first fully open 32B thinking model to expose intermediate chain-of-thought reasoning traces. Trained on multi-step math, code, and general problem-solving tasks using a thinking SFT, DPO, and RLVR training flow, it is the strongest fully open reasoning model at the 32B scale — narrowing the gap to open-weight models like Qwen 3-32B-Think while trained on 6x fewer tokens. All training data, code, weights, and checkpoints are publicly available under Apache 2.0. Best suited for complex multi-step reasoning and mathematical problem solving via API.
Frequently Asked Questions
You can access Olmo 3.1 32B Think by Allen AI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Olmo 3.1 32B Think to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.15 |
| Output | $0.5 |
Olmo 3.1 32B Think was created by Allen AI and released on Dec 10, 2025.
Olmo 3.1 32B Think supports a context window of 66K tokens. For reference, that is roughly equivalent to 131 pages of text.
Olmo 3.1 32B Think can generate up to 66K tokens in a single response.
Yes — the Olmo 3.1 32B Think API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
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