MiroMind: MiroThinker 1.7 DeepResearch Mini

miromind/mirothinker-1-7-deepresearch-mini

Access MiroThinker 1.7 DeepResearch Mini from MiroMind using the 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: "miromind/mirothinker-1-7-deepresearch-mini"
}).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: "miromind/mirothinker-1-7-deepresearch-mini"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

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

Model Playground

Try MiroThinker 1.7 DeepResearch Mini instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

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MiroThinker 1.7 DeepResearch

MiroThinker 1.7 DeepResearch is an open-source deep research agent from MiroMind AI, built on a 235B-parameter Qwen3-235B-A22B-Thinking-2507 mixture-of-experts architecture. It is designed for long-horizon web research, complex multi-step investigation, and prediction tasks rather than general chat. It scores 74.0 on BrowseComp, 75.3 on BrowseComp-ZH, 82.7 on GAIA-Val-165, and 42.9 on HLE-Text, and MiroMind reports it sets a new state of the art among open-source models on BrowseComp-ZH. The model supports a 256K-token context window and can issue up to 300 tool calls in a single task. MiroMind calls this approach interaction scaling, training the agent to handle deeper and more frequent tool interactions rather than relying only on larger parameter counts or longer context. Released under Apache 2.0, it's a fit for developers building autonomous research agents, web-browsing pipelines, or report-generation tools that need many sequential tool calls to reach a verified answer.

Frequently Asked Questions

How do I use MiroThinker 1.7 DeepResearch Mini?

You can access MiroThinker 1.7 DeepResearch Mini by MiroMind 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.

Is MiroThinker 1.7 DeepResearch Mini free?

MiroThinker 1.7 DeepResearch Mini is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.

What is the pricing for MiroThinker 1.7 DeepResearch Mini?

MiroThinker 1.7 DeepResearch Mini costs $1.25 per 1M input tokens and $10 per 1M output tokens.

	Price per 1M tokens
Input	$1.25
Output	$10

What is the context window of MiroThinker 1.7 DeepResearch Mini?

MiroThinker 1.7 DeepResearch Mini supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.

What is the max output length of MiroThinker 1.7 DeepResearch Mini?

MiroThinker 1.7 DeepResearch Mini can generate up to 16K tokens in a single response.

Does it work with React / Vue / Vanilla JS / Node / etc.?

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.

Add MiroThinker 1.7 DeepResearch Mini to your app for free

Developers can integrate MiroThinker 1.7 DeepResearch Mini for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

Get started How pricing works