Allen AI: Olmo 3.1 32B Instruct
allenai/olmo-3.1-32b-instruct
Access Olmo 3.1 32B Instruct 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-3.1-32b-instruct"
}).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-3.1-32b-instruct"
}).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-3.1-32b-instruct",
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-3.1-32b-instruct",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
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.
Context Window 66K
tokens
Max Output N/A
tokens
Input Cost $0.2
per million tokens
Output Cost $0.6
per million tokens
Release Date Dec 10, 2025
Output Speed 53
tokens / sec
Latency 0.29s
time to first token
Model Playground
Try Olmo 3.1 32B Instruct instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Olmo 3.1 32B Instruct performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 53.9% |
| Humanity's Last Exam Cross-domain reasoning | 4.9% |
| SciCode Scientific programming | 16.7% |
| IFBench Instruction following | 39.2% |
| LCR Long-context reasoning | 0.0% |
| Terminal-Bench Hard Agentic terminal tasks | 0.0% |
| τ²-Bench Tool use / agents | 21.3% |
Scores sourced from Artificial Analysis.
Frequently Asked Questions
You can access Olmo 3.1 32B Instruct 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 Instruct 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 | $0.2 |
| Output | $0.6 |
Olmo 3.1 32B Instruct was created by Allen AI and released on Dec 10, 2025.
Olmo 3.1 32B Instruct supports a context window of 66K tokens. For reference, that is roughly equivalent to 131 pages of text.
Yes — the Olmo 3.1 32B Instruct 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 3.1 32B Instruct to your app without worrying about API keys or setup.
Read the Docs View Tutorials