Allen AI: Olmo 3 32B Think
allenai/olmo-3-32b-think
Access Olmo 3 32B Think from Allen AI using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "allenai/olmo-3-32b-think"
}).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", {
model: "allenai/olmo-3-32b-think"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="allenai/olmo-3-32b-think",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "allenai/olmo-3-32b-think",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
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.
Context Window 66K
tokens
Max Output 66K
tokens
Input Cost $0.15
per million tokens
Output Cost $0.5
per million tokens
Release Date Nov 19, 2025
Model Playground
Try Olmo 3 32B Think instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Olmo 3 32B Think performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 61.0% |
| Humanity's Last Exam Cross-domain reasoning | 5.9% |
| LiveCodeBench Recent coding problems | 67.2% |
| SciCode Scientific programming | 28.6% |
| AIME 2025 Advanced math exam | 73.7% |
| IFBench Instruction following | 49.1% |
| LCR Long-context reasoning | 0.0% |
| Terminal-Bench Hard Agentic terminal tasks | 1.5% |
| τ²-Bench Tool use / agents | 0.0% |
Scores sourced from Artificial Analysis.
Frequently Asked Questions
You can access Olmo 3 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 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 32B Think was created by Allen AI and released on Nov 19, 2025.
Olmo 3 32B Think supports a context window of 66K tokens. For reference, that is roughly equivalent to 131 pages of text.
Olmo 3 32B Think can generate up to 66K tokens in a single response.
Yes — the Olmo 3 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.
Get started with Puter.js
Add Olmo 3 32B Think to your app without worrying about API keys or setup.
Read the Docs View Tutorials