
MiroMind
Officially listedA general-purpose AI problem solver built for complex reasoning, deep research, and high-stakes decisions.
MiroMind
MiroMind is a general-purpose problem solver built for high-stakes decisions and complex reasoning, dedicated to delivering structured reasoning and information verification beyond traditional chat. It abandons the shallow back-and-forth of quick chat and opens a new era of “exploratory” intelligence for professionals who demand rigorous facts.
Core Capabilities
- 235B Verified Core Model: built on a 235-billion-parameter reasoning model with a unique verification-driven architecture, engineered for extremely difficult problem-solving tasks.
- DAG Multi-step Reasoning Network: supports directed acyclic graph reasoning flows that explore solutions in parallel, retain valid facts, and intelligently roll back, dynamically rewriting reasoning paths when contradicting evidence appears.
- Intensive Heavy Research Mode: optimized for long-horizon tasks, autonomously completing 100+ steps of concurrent research and lead verification in pursuit of 99% certainty.
- Transparent Visible Reasoning: provides a real-time view of the chain of thought, clearly showing the full process of information retrieval, hypothesis building, and revision for controllable trust.
- Open Source and Hacker-friendly: beyond an intuitive web client, it offers a fully OpenAI-compatible streaming API and open-sources the underlying models to support private deployment.
Use Cases Extremely well suited to financial analysts running high-resolution forecasts of market trends and earnings, legal professionals cross-examining evidence across long case files, and academics conducting deep literature reviews and scientific hypothesis validation. A must-have tool for top professionals with zero tolerance for factual hallucinations.
Unique Advantages Unlike Perplexity's breadth-first retrieval or purely internal reasoning models, MiroMind adds an orchestration layer with built-in self-review. It genuinely performs “researcher-style” iterative retrieval and error correction, trading time for indisputable accuracy rather than simply producing a plausible-sounding answer.
Editor's Review This is, without question, a ceiling-setting deep reasoning tool. While its complex credit system and slower response speed deter users accustomed to instant answers, its unique verification network decisively cuts off the hallucination problem plaguing large models. For senior practitioners who treat accuracy as sacred, MiroMind is currently the unrivaled best choice.
Pricing
### 💰 定价模式:免费增值 **起步价**:免费 #### 主要方案 - ** 免费版**:$0/月 - 每24小时100积分;可访问基础及专业模型;受限的网页报告生成。 - **专业版**:$19/月 - 每月20,000积分;请求优先免排队;新功能抢先体验。 #### 试用/其他信息 采用按量扣费与订阅结合模式,积分消耗视任务难度而定。新注册即赠 2,000 奖励积分,并支持 $4.99 购买额外补充包。 — Visit website
FAQ
Is MiroMind free?
MiroMind uses a freemium model. The free tier gives you 100 credits per day to try the base models, while heavy research requires upgrading to the $19/month Pro plan or buying credit packs.
What can MiroMind be used for?
It is a solver designed for complex reasoning, suited to in-depth academic research, financial forecasting, complex code logic derivation, and mapping legal chains of evidence.
How does MiroMind differ from Perplexity?
Perplexity favors fast, broad retrieval and information summarization, while MiroMind excels at long-horizon deep research, achieving very high accuracy through repeated cross-validation and logical self-correction.
Why is MiroMind slow to respond?
Because it runs complex directed acyclic graph (DAG) reasoning and a two-layer fact verification mechanism in the background, which can take several minutes or longer — trading time for exceptional accuracy.
Can ordinary developers run MiroMind locally?
Official open weights are available, but the 235B model is so large that local deployment demands extreme VRAM (multiple H100s); most developers are better off calling the API.
Does MiroMind support third-party ecosystems and API access?
Yes. MiroMind offers a fully OpenAI-compatible REST API, making it easy for developers to integrate quickly and stream chain-of-thought and verified research results.