Kimi (AI)

Key takeaways

Kimi (AI) belongs to biology; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Kimi (AI) to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Kimi (AI) from memory before moving on to harder problems.

Reference excerpt

Kimi is an artificial intelligence (AI) chatbot and series of large language models developed by Chinese company Moonshot AI. Its first version, released in 2023, was known for supporting up to 128,000 tokens of context. The company released the open-weights Kimi K2 in July 2025, and Kimi K3 in July 2026.

History Moonshot AI was founded in March 2023 in China. In October 2023, the company officially released the Kimi chatbot and began closed-beta testing. In July 2024, Kimi's "context caching" feature entered public beta. On 11 October 2024, Kimi Explore Edition, featuring AI-powered autonomous search, went live globally; monthly active users have since exceeded 36 million. In September 2025, Moonshot AI added an agentic AI feature to Kimi known as "OK Computer". It is capable of creating multi-page websites and editable slides from simple user prompts and can process up to 1 million rows of input data at once, and output text, audio, images, and video. In August 2026, legal startup Harvey unveiled its new model using Kimi.

Models On 16 November 2023, Kimi was released to the general public based on the Moonshot model. The first version of Kimi supported lossless context of 128,000 tokens, making it the first AI model that was capable of accepting contexts of this size. In March 2024, Moonshot AI began closed beta testing of an updated version of Kimi with a 2 million character context window. In November 2024, Kimi began internal testing of an AI video generation model. On 20 January 2025, Kimi K1.5 was released. Moonshot AI claimed it matched the performance of OpenAI o1 in mathematics, coding, and multimodal reasoning capabilities. In April 2025, Kimi-VL, an open source 16 billion parameter mixture of experts (MoE) large language model with 3 billion active parameters, was released. In June, a reasoning model named Kimi-VL-Thinking was also released. In June 2025, Kimi-Dev, a 72B parameter coding-focused model based on Qwen2.5-72B, was released. Also in June, Moonshot AI released Kimi-Researcher, an autonomous AI research agent available through Kimi's website and app. In July 2025, Moonshot AI released Kimi K2, a 1 trillion parameter mixture of experts large language model with 32 billion active parameters which was open sourced under a modified MIT license. On 9 September 2025, Moonshot AI released an updated version of K2, Kimi-K2-Instruct-0905, which improved its performance in coding tasks and increased its context window from 128K tokens to 256K tokens. In October 2025, Moonshot AI released Kimi Linear, a 48 billion parameter MoE model with 3 billion active parameters. It uses a more efficient attention method known as Kimi Delta Attention (KDA), which reduces memory usage and improves generation speed at longer context window sizes. In January 2026, Moonshot AI released Kimi K2.5, a 1 trillion parameter MoE model with 32 billion active parameters. The model is multimodal in vision and language understanding with advanced agentic capabilities, instant and thinking modes, as well as conversational and agentic paradigms. Moonshot AI released Kimi K2.6 in April 2026, followed by Kimi K2.7 Code in June 2026. Moonshot AI released its Kimi K3 model, on 16 July 2026, with 2.8 trillion parameters. Upon release, Kimi K3 debuted at No. 3 on the Artificial Analysis AI leaderboard, behind Anthropic's Claude Fable 5 and OpenAI's GPT-5.6 Sol, but outperformed its competitors on Arena.ai's front-end web development benchmark. Moonshot AI released the weights for Kimi K3 on July 27 under a custom license that requires any company with annual revenue greater than US$20 million to negotiate a contract with Moonshot AI before providing Kimi K3 to external customers as a service, and any company with either monthly revenue greater than $20 million or over 100 million monthly active users to display attribution of Kimi K3 in any product that incorporates the model. Moonshot has faced accusations, including from Michael Kratsios, director of the White House Office of Science and Technology Policy, that Kimi K3 was made by distilling Anthropic's Claude Fable model.

Model versions

Pricing The Kimi apps are free to use with general rate limits. However, there are four subscription plans known as "Moderato", "Allegro", "Allegretto", and "Vivace" (all named after tempo markings). The plans offer higher usage of the K2 model, access to K2 Turbo, a version of the model that runs on faster hardware, extended access to Kimi Researcher and OK Computer, and faster Kimi slides generation.

See also Reasoning model – Language models designed for reasoning tasks List of chatbots List of AI-assisted software development tools

References

External links Official website

Illustrations

Worked examples

Example 1 — a first encounter with Kimi (AI)

Start with the simplest possible case. Write down what Kimi (AI) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Kimi (AI) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Kimi (AI) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Kimi (AI)

In research: Kimi (AI) appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Kimi (AI) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Kimi (AI) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Artificial intelligence industry in China, Chatbots, Generative pre-trained transformers, so understanding it makes those chapters shorter.
In everyday life: Look for Kimi (AI) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

How to study Kimi (AI) in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Kimi (AI) means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Kimi (AI) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Kimi (AI) in simple terms?

Kimi is an artificial intelligence (AI) chatbot and series of large language models developed by Chinese company Moonshot AI. Its first version, released in 2023, was known for supporting up to 128,000 tokens of context.

Why does Kimi (AI) matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Kimi (AI)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Kimi (AI).