Kimi K2 Thinking
Kimi K2 Thinking is Moonshot AI's trillion-parameter reasoning model. It outperforms GPT-5 on HLE and supports 300 sequential tool calls autonomously for...
moonshotKimi K2November 6, 2025About Kimi K2 Thinking
Learn about Kimi K2 Thinking's capabilities, features, and how it can help you achieve better results.
Trillion-Parameter Mixture of Experts
Kimi K2 Thinking is a trillion-parameter reasoning model that utilizes a Mixture-of-Experts (MoE) architecture. Developed by Moonshot AI and released in late 2025, it activates only 32B parameters for inference, which balances massive knowledge capacity with computational efficiency. It is designed specifically as a thinking agent that scales its computation during the inference phase to solve complex logical problems. This approach allows the model to reflect on its own reasoning and correct mistakes before providing a final answer.
Agentic Tool Use and Planning
The model distinguishes itself through its capability to handle up to 300 sequential tool calls autonomously. While most standard language models struggle with long-horizon planning, K2 Thinking is engineered for agentic workflows such as autonomous web browsing and multi-step software engineering. It natively supports INT4 precision via Quantization-Aware Training, allowing the model to maintain frontier-level performance while running on standard enterprise hardware clusters.
Developer and Research Focus
With a 256K token context window, the model is built for deep research and complex technical tasks. It bridges the performance gap between closed-source systems and open-weights models. Its ability to solve PhD-level science questions and competitive math problems makes it a suitable choice for academic research, automated coding assistants, and high-fidelity reasoning applications where logical consistency is the primary requirement.
Use Cases
Discover the different ways you can use Kimi K2 Thinking to achieve great results.
Complex Software Engineering
Resolving real GitHub issues and architecting multi-file codebases using iterative self-correction.
Autonomous Research Agents
Executing hundreds of sequential tool calls to gather and synthesize obscure technical data.
Olympiad-Level Mathematics
Solving advanced geometry and algebra problems with deep chain-of-thought verification.
PhD-Level Science Inquiry
Answering expert questions in physics and biology that require multi-step logical deduction.
Interactive Computer Control
Navigating terminal environments and cloud infrastructure to automate devops workflows.
Logic-Heavy Creative Writing
Generating long-form content that requires strict adherence to intricate world-building rules.
Strengths
Limitations
API Quick Start
moonshot/kimi-k2-thinking
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env.MOONSHOT_API_KEY,
baseURL: 'https://api.moonshot.cn/v1',
});
async function main() {
const response = await client.chat.completions.create({
model: 'kimi-k2-thinking',
messages: [{ role: 'user', content: 'Design a system for autonomous code review using 300 tool calls.' }],
});
console.log(response.choices[0].message.content);
}
main();Install the SDK and start making API calls in minutes.
Community Feedback
See what the community thinks about Kimi K2 Thinking
“Kimi K2.5 is the best open model for coding, they really cooked.”
“Moonshot AI just dropped Kimi K2 Thinking. 300 sequential tool calls? That's the future of agentic AI.”
“Kimi released Kimi K2 Thinking, an open-source trillion-parameter reasoning model. This is the real deal.”
“The fact that it can handle 300 tool calls sequentially opens up entirely new agent workflows.”
“Impressive to see an open-source model hitting these numbers. The test-time scaling approach is clearly paying off.”
“Running this model locally is a challenge, but the reasoning depth is unlike anything else in the open weights space.”
Related Videos
Watch tutorials, reviews, and discussions about Kimi K2 Thinking
“Kimmy K2 thinking is the best AI model I've ever used.”
“It is the most agentic independent model ever made. Meaning, it can run for hours by itself.”
“It is able to think and reflect every single step of the way. So it never gets lost.”
“The reasoning speed is surprisingly fast despite the trillion parameters.”
“If you are building agents, this is the architecture you want to look at.”
“Kimi K2 Thinking... is a thinking upgrade to the Kimmy K2 model, which truthfully seems to be very widely regarded.”
“This is of course an open-source model... coming in at a total size of around 1 trillion parameters.”
“All benchmark results are reported under int4 precision.”
“It handles complex math problems with a level of logic that rivals the top proprietary labs.”
“The installation process for the local weights is fairly straightforward if you have the VRAM.”
“Kimi K2.5 is the latest open-source model developed by a Chinese company called Moonshot AI.”
“It is capable of spinning up up to 100 sub-agents and 1,500 tool calls and run them concurrently.”
“I would certainly recommend it if you want to make a truly beautiful website.”
“The internal chain of thought allows it to self-correct code errors before providing the final answer.”
“Moonshot has really focused on long-horizon planning for this specific release.”
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Pro Tips
Expert tips to help you get the most out of Kimi K2 Thinking and achieve better results.
Enable Thinking Output
Use the special tokens flag in your inference engine to see the model's internal reasoning steps.
Optimize Temperature
Set the sampling temperature to 1.0 and min_p to 0.01 for the most consistent reasoning flow.
Utilize System Prompts
Start conversations with the official Moonshot AI identity prompt to stabilize the model's behavior.
Scale Test-Time Compute
Allow the model to generate more internal tokens for harder problems to increase accuracy.
Testimonials
What Our Users Say
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Frequently Asked Questions
Find answers to common questions about Kimi K2 Thinking