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...
moonshotKimi2025-11-06Try Kimi K2 Thinking Free
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About Kimi K2 Thinking
Learn about Kimi K2 Thinking's capabilities, features, and how it can help you achieve better results.
Trillion-Parameter Open Intelligence
Kimi K2 Thinking is a groundbreaking trillion-parameter reasoning model from Moonshot AI that has redefined the boundaries of open-source intelligence. Released in November 2025, it utilizes a sophisticated Mixture-of-Experts (MoE) architecture with 1T total parameters—activating only 32B for inference—making it both remarkably powerful and computationally efficient. Unlike standard language models, K2 Thinking is engineered as a "thinking agent," scaling test-time computation to perform deep logical reasoning, planning, and autonomous tool use.
Agentic Prowess and Scalability
The model is particularly renowned for its agentic capabilities, successfully executing up to 300 sequential tool calls without human intervention. This makes it a formidable choice for complex research, competitive programming, and multi-step technical workflows. By natively utilizing INT4 precision via Quantization-Aware Training, Moonshot AI has enabled this massive model to run on accessible hardware clusters while outperforming closed-source giants like GPT-5 and Claude 4.5 in critical reasoning and browsing benchmarks.
Developer-First Architecture
Designed for the global developer community, Kimi K2-Thinking offers unrivaled cost-to-performance metrics. With a massive 256K context window and support for extensive chain-of-thought processing, it bridges the gap between local specialized models and enterprise-grade cloud APIs. Its training methodology focuses on long-horizon planning, allowing the model to reflect, correct, and optimize its outputs iteratively.
Use Cases for Kimi K2 Thinking
Discover the different ways you can use Kimi K2 Thinking to achieve great results.
Autonomous Research
Executing deep-dive web inquiries that require hundreds of sequential tool calls and iterative information verification.
Scientific Problem Solving
Tackling PhD-level mathematics and physics queries using Python tool execution and chain-of-thought processing.
Competitive Programming
Solving high-difficulty algorithmic challenges from platforms like Codeforces and LeetCode with PhD-level accuracy.
Complex Code Debugging
Identifying and fixing logical errors in massive multi-file codebases through exhaustive, high-horizon reasoning steps.
Legal and Compliance Analysis
Reviewing lengthy technical or legal documents across a 256K context window to identify subtle risks or contradictions.
Agentic AI Automation
Powering autonomous agents that can plan, act, reflect, and refine their own outputs for hours without human intervention.
Strengths
Limitations
API Quick Start
moonshot/kimi-k2-thinking
import OpenAI from 'openai';
const openai = new OpenAI({
apiKey: process.env.MOONSHOT_API_KEY,
baseURL: 'https://api.moonshot.ai/v1',
});
async function main() {
const completion = await openai.chat.completions.create({
model: 'kimi-k2-thinking',
messages: [
{ role: 'system', content: 'You are Kimi, a reasoning AI by Moonshot AI.' },
{ role: 'user', content: 'Solve the Riemann Hypothesis proof verification task.' }
],
});
console.log(completion.choices[0].message.content);
}
main();Install the SDK and start making API calls in minutes.
What People Are Saying About Kimi K2 Thinking
See what the community thinks about Kimi K2 Thinking
"Kimi K2 Thinking is the best AI model I've ever used... no hallucinations and hundreds of tool calls."
"The gap between close and open continues to narrow even as the cost of tokens collapses."
"Moonshot K2-Thinking is redefining local intelligent agents with 300 tool calls."
"Finally a model that actually thinks through the prompt logic before answering!"
"China is really pushing the open-source open weights frontier with the Kimi series."
"Absolutely mind-blowing performance on competitive math problems."
Videos About Kimi K2 Thinking
Watch tutorials, reviews, and discussions about Kimi K2 Thinking
“This is the most agentic independent model ever made.”
“It is able to think and reflect every single step of the way. So it never gets lost.”
“It's extremely cost effective... half the price of chat GBT5 and about a tenth of the price of Sonnet 4.5.”
“It manages to avoid the common logic traps of standard LLMs.”
“Moonshot is really changing the game for open-weight accessibility.”
“It can execute up to 200 to 300 sequential tool calls without human interference.”
“K2 thinking achieved a score of 60.2% significantly outperforming the human baseline of 29.2% on BrowseComp.”
“China is really pushing the open-source open weights frontier.”
“The Mixture-of-Experts implementation here is incredibly efficient for 1 trillion parameters.”
“You get frontier-level reasoning for basically pennies on the dollar.”
“I've got it running here on a Mac Studio using pseudo cis control wired limit.”
“We're using up 500 GB of RAM. Our processing speed has come to a crawl around 6.9 tokens a second.”
“It actually wrote this code down, but it didn't actually stop. It started thinking again.”
“Even with quantization, the logical coherence of this model remains elite.”
“The internal monologue shows exactly where it corrects its own coding errors.”
Supercharge your workflow with AI Automation
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Pro Tips
Expert tips to help you get the most out of this model and achieve better results.
Enable Thinking Tags
When running locally via tools like llama.cpp, ensure you use the --special flag to correctly render internal <think> tokens.
Optimize Temperature
Set temperature to 1.0 and min_p to 0.01 for the most stable and rigorous reasoning results.
Hardware Clustering
Deploy the INT4 quantized version on a cluster of two Mac Studio M3 Ultras with RDMA for a lossless 1T local experience.
Long-Horizon Planning
Structure prompts to explicitly ask for a 'step-by-step plan' first to trigger the model's adaptive learning and search strengths.
Testimonials
What Our Users Say
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Co-Founder/CEO, rpatools.io
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CEO, qannas.pro
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Ben Bressington
CTO, AiChatSolutions
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Sarah Chen
Head of Growth, ScaleUp Labs
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Founder, DataDriven.io
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