Moonshot AI: Kimi V1 128K
moonshotai/kimi-v1-128k
Access Kimi V1 128K from Moonshot AI using the 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-v1-128k"
}).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-v1-128k"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Kimi V1 128K is the 128,000-token context tier of Moonshot AI's original v1 chat model line, the same route previously listed as moonshot-v1-128k before Moonshot rebranded its developer platform around the Kimi name.
The 8K, 32K, and 128K tiers share the same underlying model, and context length is the only difference between them. Moonshot's docs describe the 128K tier as suited to generating very long texts, which makes it a fit for long documents, large transcripts, and extended conversation histories.
The API is OpenAI-compatible and supports tool calling. This is a legacy line. Moonshot's newer K-series models (Kimi K2 and K3) now cover agentic and reasoning workloads, and the v1 series is no longer offered to newly registered platform accounts, so this route mainly serves existing integrations.
Context Window 131K
tokens
Max Output 131K
tokens
Input Cost $2
per million tokens
Output Cost $5
per million tokens
Input text
modalities
Tool Use Yes
Release Date Jan 31, 2024
Model Playground
Try Kimi V1 128K instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Moonshot AI
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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 V1 128K 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 V1 128K 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 | $2 |
| Output | $5 |
Kimi V1 128K was created by Moonshot AI and released on Jan 31, 2024.
Kimi V1 128K supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Kimi V1 128K can generate up to 131K tokens in a single response.
Kimi V1 128K accepts the following input types: text. It produces: text.
Yes, Kimi V1 128K supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Kimi V1 128K 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 V1 128K to your app for free
Developers can integrate Kimi V1 128K for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.