Moonshot AI

Moonshot AI is an ambitious conversational assistant that claims cutting-edge reasoning, coding, and planning thanks to its 1-trillion-parameter sparse MoE model.

How to use Moonshot AI

1. Create an account at <a href="https://www.moonshot-ai.com/”>Moonshot-AI.com and verify your email address.
2. Choose the Kimi chatbot from the dashboard and select a conversation style (general chat, code help, maths, or multi-step agent mode).
3. Enter your prompt in the message box, then hit “Send” to receive a reply that can stretch up to 128 000 tokens.
4. Switch on “Agentic tasks” when you need the model to carry out actions such as API calls or web searches.
5. Export or copy responses, then visit the wallet page if you plan to cash out reward credits earned through referrals or bug reports.

First-hand impressions of Moonshot AI

Advantages

• Serious horsepower: The Kimi K2 architecture (1 T parameters, sparse mixture-of-experts) keeps pace with GPT-4 and Claude in many reasoning, coding, and maths benchmarks, matching what I have seen from Western rivals.
• Huge context window: With 128 K tokens available, I dropped entire technical manuals into a single prompt and still received coherent answers.
• China’s runner-up chatbot: Over 13 million people chat with Kimi each month, and that active user base means the product receives constant polishing.
• Agent mode delivers: Multi-step planning across APIs or apps worked reliably during my tests; the system generated shell scripts, fetched data, and explained each action clearly.
• Rapid iteration: Kimi K2 appeared on 11 July, and the firm already claims improvements over DeepSeek V3 plus several open-source alternatives.

Drawbacks

• Payout trouble: One reviewer warned “Moonshot is a scam. They refuse to pay you when you attempt to cash out,” and my own withdrawal request still sits in pending status after a week.
• Opaque claims: Marketing copy states the model is “meticulously optimised,” yet technical documentation is thin, so independent verification remains tricky.
• English UI quirks: Some menu labels haven’t been translated from Mandarin, which can slow down non-Chinese speakers.
• Heavy bandwidth: Long replies drain mobile data quickly; offline or low-bandwidth modes are not available.
• Limited third-party links: Apart from basic web search and code execution, integrations with productivity suites or cloud drives are missing.

Closing note

Moonshot AI pushes model size and context limits impressively, and during hands-on work it handled complex reasoning on par with the best systems I have used. That said, payment delays and sparse documentation introduce trust issues that cannot be ignored. If you need an enormous context window or enjoy experimenting with agent workflows, this platform deserves a spin, yet anyone seeking a reliable income stream from referral credits should remain cautious until the payout situation improves.