MiroMind: MiroThinker 1.7 DeepResearch

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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.

Context Window 262K

tokens

Max Output 16K

tokens

Input Cost $4

per million tokens

Output Cost $25

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

How do I use MiroThinker 1.7 DeepResearch?

MiroThinker 1.7 DeepResearch is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for MiroThinker 1.7 DeepResearch?

MiroThinker 1.7 DeepResearch costs $4 per 1M input tokens and $25 per 1M output tokens.

	Price per 1M tokens
Input	$4
Output	$25

What is the context window of MiroThinker 1.7 DeepResearch?

MiroThinker 1.7 DeepResearch 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?

MiroThinker 1.7 DeepResearch 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 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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