Moonshot AI: Moonshot v1 128K Vision (Preview)
moonshotai/moonshot-v1-128k-vision-preview
Access Moonshot v1 128K Vision (Preview) 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/moonshot-v1-128k-vision-preview"
}).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/moonshot-v1-128k-vision-preview"
}).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/moonshot-v1-128k-vision-preview",
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/moonshot-v1-128k-vision-preview",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Moonshot V1 128K Vision Preview is Moonshot AI's largest-context multimodal model in the V1 series, supporting both image and text inputs within a 128,000-token context window.
It combines the long-context strength of the 128K text model with visual understanding capabilities. This makes it well-suited for processing large multimodal documents — think lengthy reports with embedded charts, multi-page scanned PDFs, or extensive UI review sessions.
As a preview model, vision features may be refined over time. The API uses the standard OpenAI-compatible format for multimodal content, making it a drop-in addition to existing workflows.
Context Window 131K
tokens
Max Output 131K
tokens
Input Cost $2
per million tokens
Output Cost $5
per million tokens
Input text, image
modalities
Tool Use Yes
Release Date Jan 15, 2025
Model Playground
Try Moonshot v1 128K Vision (Preview) instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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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 Fast
Kimi K2.7 Code Fast is the high-speed serving tier of Kimi K2.7 Code, Moonshot AI's coding-agent model. The weights and capabilities are the same as the standard route; the difference is throughput. Moonshot reports around 180 tokens per second on coding tasks with median-length inputs and up to 260 tokens per second on shorter-context tasks, up to 6x faster than the standard release. Like the base model, it runs in always-on thinking mode with a 262K-token context window and supports tool calling for agentic workflows. Compared with K2.6, K2.7 Code improves coding and agent performance while using roughly 30% fewer thinking tokens. The fast route costs about twice as much per token as the standard endpoint, so it fits interactive coding agents and IDE assistants where response speed matters more than cost.
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.
Frequently Asked Questions
You can access Moonshot v1 128K Vision (Preview) 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 Moonshot v1 128K Vision (Preview) 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 | $2 |
| Output | $5 |
Moonshot v1 128K Vision (Preview) was created by Moonshot AI and released on Jan 15, 2025.
Moonshot v1 128K Vision (Preview) supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Moonshot v1 128K Vision (Preview) can generate up to 131K tokens in a single response.
Moonshot v1 128K Vision (Preview) accepts the following input types: text, image. It produces: text.
Yes, Moonshot v1 128K Vision (Preview) supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Moonshot v1 128K Vision (Preview) 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 Moonshot v1 128K Vision (Preview) to your app without worrying about API keys or setup.
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