Moonshot AI: Kimi K2 0711
moonshotai/kimi-k2
Access Kimi K2 0711 from Moonshot AI using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "moonshotai/kimi-k2"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "moonshotai/kimi-k2"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="moonshotai/kimi-k2",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "moonshotai/kimi-k2",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Kimi K2 is a trillion-parameter Mixture-of-Experts model by Moonshot AI, activating 32 billion parameters per token. Designed as a non-thinking model optimized for agentic capabilities, it excels at tool use, code generation, and autonomous problem-solving with a 128K token context window.
On benchmarks, K2 scored 65.8% on SWE-bench Verified, 75.1% on GPQA-Diamond, 49.5% on AIME 2025, and 66.1 on Tau2-bench — surpassing most open- and closed-source models in non-thinking settings. It ranked as the #1 open-source model on the LMSYS Arena leaderboard upon release in July 2025.
K2 is well suited for developers building AI agents and tool-calling pipelines who need strong coding and reasoning without extended thinking overhead.
Context Window 131K
tokens
Max Output 33K
tokens
Input Cost $0.57
per million tokens
Output Cost $2.3
per million tokens
Release Date Jul 11, 2025
Output Speed 36
tokens / sec
Latency 1.24s
time to first token
Model Playground
Try Kimi K2 0711 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Kimi K2 0711 performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 76.6% |
| Humanity's Last Exam Cross-domain reasoning | 7.0% |
| LiveCodeBench Recent coding problems | 55.6% |
| SciCode Scientific programming | 34.5% |
| MATH-500 Competition math | 97.1% |
| AIME 2024 Advanced math exam | 69.3% |
| AIME 2025 Advanced math exam | 57.0% |
| IFBench Instruction following | 41.5% |
| LCR Long-context reasoning | 51.0% |
| Terminal-Bench Hard Agentic terminal tasks | 15.9% |
| τ²-Bench Tool use / agents | 61.1% |
Scores sourced from Artificial Analysis.
Find other Moonshot AI models →
Kimi K2.6
Kimi K2.6 is Moonshot AI's latest open-weight multimodal model, built on a 1-trillion-parameter mixture-of-experts architecture with a 256K context window. It excels at agentic coding and long-horizon execution, supporting sustained autonomous workflows with 4,000+ tool calls across languages like Rust, Go, and Python. On key benchmarks, it scores 58.6 on SWE-Bench Pro, 54.0 on HLE with Tools, and 50.0 on Toolathlon — competitive with GPT-5.4 and Claude Opus 4.6 on coding and agent tasks, though trailing them on pure reasoning. The model accepts text, image, and video input, supports both thinking and non-thinking modes, and offers an OpenAI-compatible API. It's a strong pick for developers building multi-step agentic workflows and complex software engineering pipelines.
ChatKimi K2.5
Kimi K2.5 is Moonshot AI's most capable open-source model, a natively multimodal (vision + text) trillion-parameter MoE with 32B active parameters released in January 2026. Built through continual pretraining on ~15 trillion mixed visual and text tokens atop the K2 base, it supports both thinking and instant modes with a 256K context window. It scored 76.8% on SWE-bench Verified, 96.1% on AIME 2025, and 50.2% on Humanity's Last Exam with tools — outperforming Claude Opus 4.5 and GPT-5.2 on the latter. Its standout feature is Agent Swarm, which coordinates up to 100 parallel sub-agents for complex tasks. K2.5 excels at vision-to-code generation, frontend development from screenshots, and large-scale agentic workflows, making it a strong choice for developers building multimodal AI agents.
ChatKimi K2 0905
Kimi K2 0905 is Moonshot AI's September 2025 update to the original Kimi K2, delivering enhanced coding performance and improved tool-calling reliability. It shares the same 1-trillion-parameter MoE architecture with 32B active parameters but doubles the context window from 128K to 256K tokens. Key improvements include stronger frontend development capabilities — producing cleaner, more polished UI code for frameworks like React, Vue, and Angular — along with better integration across popular agent scaffolds. It scored 53.7% Pass@1 on LiveCodeBench. This version is ideal for developers who want K2's agentic strengths with improved real-world coding quality and longer context support for large codebases.
Frequently Asked Questions
You can access Kimi K2 0711 by Moonshot AI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Kimi K2 0711 to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.57 |
| Output | $2.3 |
Kimi K2 0711 was created by Moonshot AI and released on Jul 11, 2025.
Kimi K2 0711 supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Kimi K2 0711 can generate up to 33K tokens in a single response.
Yes — the Kimi K2 0711 API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add Kimi K2 0711 to your app without worrying about API keys or setup.
Read the Docs View Tutorials