Moonshot AI: Kimi K2.6
Try Kimi K2.6 for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "moonshotai/kimi-k2.6"
}).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-k2.6"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
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.
Context Window 262K
tokens
Max Output 262K
tokens
Input Cost $0.95
per million tokens
Output Cost $4
per million tokens
Input image, text, video
modalities
Tool Use Yes
Knowledge Cutoff Jan 2025
Release Date Apr 20, 2026
Try Kimi K2.6 for free
Try Kimi K2.6 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Kimi K2.6 performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 91.1% |
| Humanity's Last Exam Cross-domain reasoning | 37.5% |
| SciCode Scientific programming | 51.5% |
| IFBench Instruction following | 76.0% |
| LCR Long-context reasoning | 81.0% |
| Terminal-Bench Hard Agentic terminal tasks | 43.9% |
| τ²-Bench Tool use / agents | 95.9% |
Scores sourced from Artificial Analysis.
Find other Moonshot AI models →
Kimi K3
Kimi K3 is Moonshot AI's flagship open-weight model, released July 16, 2026, with full weights following on July 27. At roughly 2.8 trillion parameters in a Mixture-of-Experts architecture, Moonshot positions it as the largest open-source model released to date, built on two new components: Kimi Delta Attention, a hybrid linear attention mechanism, and Attention Residuals, a replacement for standard residual connections. It runs in an always-on thinking mode with a 1-million-token context window and accepts text, image, and video input. Reported results include 93.5% on GPQA Diamond, 91.2% on BrowseComp, 88.3% on Terminal-Bench 2.1, and a first-place finish on Arena.ai's Frontend Code Arena, putting it close to Claude Opus 4.8 and GPT-5.5 on several agentic and coding tasks. These figures come from Moonshot and early testers, not independently confirmed leaderboards. It suits developers building long-horizon coding agents and tool-calling pipelines who want frontier-level performance at open-weight pricing.
ChatKimi K2.7 Code
Kimi K2.7 Code is Moonshot AI's open-weight coding-agent model, released June 2026 and purpose-built for long-horizon, autonomous coding tasks. It shares the same 1-trillion-parameter Mixture-of-Experts architecture (32B active parameters) as K2.6 but is entirely focused on software engineering workloads. Compared to K2.6, it improves 21.8% on Kimi Code Bench v2, 11% on Program Bench, and 31.5% on MLS Bench Lite, while cutting reasoning-token usage by roughly 30%. It always runs in thinking mode — non-thinking mode is not supported. With a 262K-token context window, K2.7 Code is well-suited for multi-file, repository-scale coding pipelines and agentic workflows where sustained reasoning and deep code understanding matter.
ChatKimi K2.7 Code Highspeed
Kimi K2.7 Code Highspeed is Moonshot AI's accelerated serving route for Kimi K2.7 Code, its open-weight coding-agent model. It runs the same weights as the standard route; the difference is inference speed, not capability. Moonshot's launch announcement reported throughput of around 180 tokens per second on coding tasks with median-length inputs and up to 260 tokens per second on shorter-context tasks. Access rolled out first to Kimi Code Beta Program members, Kimi API developers, and Kimi Business users, with Moonshot noting capacity limits at launch. Like the base model, it runs in always-on thinking mode with a 262K-token context window, supports tool calling, and accepts text, image, and video input. Input costs $1.90 per million tokens and output $8, making it a fit for interactive coding agents and IDE assistants where response speed matters more than per-token cost.
Frequently Asked Questions
You can access Kimi K2.6 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.
Kimi K2.6 is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
Kimi K2.6 is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.95 |
| Output | $4 |
Kimi K2.6 was created by Moonshot AI and released on Apr 20, 2026.
Kimi K2.6 supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
Kimi K2.6 can generate up to 262K tokens in a single response.
Kimi K2.6 has a knowledge cutoff date of Jan 2025. This means the model was trained on data available up to that date.
Kimi K2.6 accepts the following input types: image, text, video. It produces: text.
Yes, Kimi K2.6 supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Kimi K2.6 scores 27.0 on the Artificial Analysis Intelligence Index, outperforming 79% of tracked models. On coding, it scores 61.8 (outperforms 71% of models).
Yes — the Kimi K2.6 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.
Add Kimi K2.6 to your app for free
Developers can integrate Kimi K2.6 for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.