Allen AI: Olmo 3 7B Instruct
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OLMo 3 7B Instruct is a lightweight, fully open instruction-tuned chat model from the Allen Institute for AI (AI2), designed for instruction-following, question-answering, and multi-turn conversational dialogue.
Among 7B-scale models, it is competitive with Qwen 2.5 and Gemma 3 equivalents, and represents a clear step up from Llama 3.1 8B in instruction-following quality. It supports a 66K token context window with a knowledge cutoff of December 2024.
Released under a fully open license with complete training weights and data publicly available, it's well-suited for cost-efficient API usage where a capable small model is preferred.
Context Window N/A
tokens
Max Output 66K
tokens
Input Cost $0.1
per million tokens
Output Cost $0.2
per million tokens
Release Date Nov 19, 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 7B 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 7B 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 | $0.1 |
| Output | $0.2 |
Olmo 3 7B Instruct was created by Allen AI and released on Nov 19, 2025.
Olmo 3 7B Instruct can generate up to 66K tokens in a single response.
Yes — the Olmo 3 7B 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.
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