MiroMind: MiroThinker 1.7 DeepResearch Mini
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MiroThinker 1.7 DeepResearch Mini is an open-source deep research agent from MiroMind AI, a 30B-parameter mixture-of-experts model built on the Qwen3-30B-A3B-Thinking-2507 architecture. It is the smaller sibling of MiroThinker 1.7 DeepResearch, aimed at the same long-horizon web research and multi-step investigation tasks at lower compute cost.
It scores 72.3 on BrowseComp-ZH, which MiroMind reports as a new state of the art among open-source models at this parameter scale. Like the full-size model, it supports a 256K-token context window and can issue up to 300 tool calls per task, using the same interaction-scaling training approach that emphasizes deeper and more frequent tool use over simply adding parameters.
Released under Apache 2.0, it suits developers who want MiroThinker's research-agent behavior in a lower-cost, faster model for high-volume or latency-sensitive deep-research API calls.
Context Window 262K
tokens
Max Output 16K
tokens
Input Cost $1.25
per million tokens
Output Cost $10
per million tokens
Release Date N/A
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>
Frequently Asked Questions
MiroThinker 1.7 DeepResearch Mini is no longer available through Puter.js. Explore other AI models for alternatives.
| Price per 1M tokens | |
|---|---|
| Input | $1.25 |
| Output | $10 |
MiroThinker 1.7 DeepResearch Mini supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
MiroThinker 1.7 DeepResearch Mini can generate up to 16K tokens in a single response.
Yes — the MiroThinker 1.7 DeepResearch Mini 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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