Kimi K2 : the Best Free Agentic AI Model – Reviews, Prices & Alternatives Kimi K2 , a creation of Moonshot AI, is a game-changing large open-source language model for artificial intelligence. It’s a high-level AI model for agentic tasks, coding and complex reasoning. It is claimed to be better than AIs such as Claude . ➥ What is Kimi K2? Kimi K2 is a new language model from the laboratories of Moonshot AI , a Chinese company renowned for its success. It is based on a MoE (Mixture-of-Experts) architecture that accumulates a total of one trillion parameters, 32 billion of which are active on each pass. This architecture makes it possible to manage workloads efficiently, by directing resources to the tasks that count. Moreover, it is distributed in the form of “open weights”, which facilitates experimentation and deployment by a large number of people. Technical features Kimi K2’s MoE architecture selects eight experts per token, plus a shared expert for general context. This process helps the system to optimize its calculations, for accurate, nuanced results. To ensure that training remains stable on such a large scale, Moonshot AI has created the MuonClip optimizer. This is an important technical point, as it prevents the usual worries of very large models, such as problems with attention values drifting away. A large contextual window Kimi K2 has a 128,000 token contextual window , enabling it to process and analyze large amounts of information at once. Unlike conventional conversation systems, this model is designed for agentic intelligence. Here, AI doesn’t just respond; it acts to achieve specific goals, using tools and managing complex processes. (This ability to act concretely is a major strength). Impressive Benchmark Results Screenshot from the official website Kimi.com ➥ How does Kimi K2 work? Kimi K2 has been trained on millions of dialogues designed to simulate exchanges with various tools. This gives him the ability to divide tasks, use tools in an orderly fashion, write and correct code, and coordinate work processes. It moves from reasoning to action without the need for human intervention all the time. Common situations of use Kimi K2 can be used in a number of areas. Developers use it, for example, for automatic code execution, to make complete web applications or to analyze data with graphs. The system can also handle over 17 tools per session, all without the need for additional plug-ins. (imagine the time savings for your projects) An interesting AI for code Furthermore, Kimi K2 integrates well with well-known development tools such as VS Code , thanks to extensions such as Cline and RooCode. This compatibility makes it easy to use for code tasks and exchanges with software agents. Watch Kimi K2 in action! Kimi K2: a (very) powerful “Moe” model using AI agents ➥ Strengths and limitations This model has many strengths, but also some limitations that are worth knowing. Strong performance: The model performs very well in code evaluations (LiveCodeBench, SWE-bench), reasoning, and tool usage. It is often better than competitors like GPT-4.1 and Claude Sonnet 4. Affordable cost: Its token price is much lower than that of several major proprietary models, which makes it attractive for budgeting. Open Source: The model’s “open weights” make testing, downloading, and local usage easier. This contrasts with systems that are often closed. Agentic capabilities: It is designed for autonomous action and tool handling, which is a major step forward. Large context window: It can process 128,000 tokens at the same time, which is an advantage for tasks that require strong understanding of long documents. No visual understanding: The current Kimi K2 model does not handle images or visual elements. Main interface in Chinese: The official chat interface of Moonshot AI is mainly in Chinese, so translation tools are required for those who do not speak the language. A user account is also required. (important note for non-Chinese speakers) Different performance on public demos: Using the model on shared platforms like Hugging Face Spaces can sometimes cause slowness. Specific license for large commercial uses: Even though the weights are open (and therefore free), a clause requires the name “Kimi K2” to be shown on commercial products that reach important thresholds of users or revenue. ➥ What is the price of Kimi K2? Cost-wise, this is obviously a (very) attractive option. For API calls, the cost is around $0.60 per million input tokens (if the cache is not used) and $2.50 per million output tokens . Bear in mind that this is a small fraction of the cost of many competing models. How to try Kimi K2 for free? Despite these API rates, you can use Kimi K2 without paying . You can access it for free via Moonshot AI’s official chat interface, with a simple login. In addition, demos are often offered on platforms such as Hugging Face Spaces, enabling testing at no direct cost, although speed may change. ➥ Who is Kimi K2 designed for? This AI model has been created for different types of users. Here are a few examples: Developers and researchers: The Kimi-K2-Base version, the base model, is well suited for customization and fine-tuning for targeted projects. Teams seeking tailored solutions: Those who aim to build AI systems adapted to specific situations will find a solid foundation with this model. Those who use AI for standard and agentic tasks: The Kimi-K2-Instruct version is ready to use for conversations and applications that require performing tasks independently. Businesses: Organizations that focus on complex code and automated process management will benefit greatly from Kimi K2’s capabilities. For those seeking efficient and low-cost AI: Its combination of high performance and low cost makes it a wise choice for managing expenses. ➥ Alternatives to Kimi K2 Model Name Price (per 1M tokens, input/output) Feature Kimi K2 (Moonshot AI) $0.60 (input) / $2.50 (output) Agentic intelligence, coding, long context window. GPT-4.1 (OpenAI) $2.00 (input) / $8.00 (output) Smart model for complex tasks, wide range of applications. Claude Sonnet 4 (Anthropic) $3.00 (input) / $15.00 (output) Linguistic reasoning, advanced contextualization. Gemini 2.5 Pro (Google) $2.50 (input) / $15.00 (output) Multimodality, balanced performance across various tasks. DeepSeek-V3 (DeepSeek AI) $0.27 (input) / $1.10 (output) Conversational focus, competitive pricing. Qwen3 (Alibaba Cloud) $0.20 (input) / $0.60 (output) High reasoning performance, multilingual, AI agents. ➥ Reviews of Kimi K2 Feedback on Kimi K2 is pretty good . The system is well regarded for what it does in benchmark tests, especially for code and agentic problem solving. Experts in the field are positive that it can do as well as, or better than, well-known proprietary models. Its “open weight” approach (open-source and free), as well as the affordable price of its API, are also frequently cited advantages. ➥ FAQ Is Kimi K2 free? + Yes, Kimi K2 can be used without paying through the official chat interface of Moonshot AI, but a login is required. In addition, its “open weights” help developers test it and run it on their own machine. However, API access is paid. What are the main uses of Kimi K2? + Without a doubt, it is very good for AI agent tasks, code, complex reasoning, and even tool usage. It is designed to break down difficult problems and take action to solve them. Who created Kimi K2? + Kimi K2 comes from Moonshot AI, a young Chinese company working in artificial intelligence, founded in 2023 by Yang Zhilin. Does Kimi K2 support visual understanding? + No, this model does not yet include vision capabilities. It currently focuses on language processing and agentic features.