Ship a Full-Stack App with One Prompt

Copy this prompt into your AI coding agent, or open it in one below.

Give this to your AI Create a to-do list app using Puter.js

Coding manually? see the guide

Moonshot AI: Kimi V1 32K Vision Preview

This model is no longer available.

Add AI to your application with Puter.js.

Explore Other Models

Model Card

Kimi V1 32K Vision Preview is a multimodal chat model from Moonshot AI, the Beijing company behind the Kimi assistant. The kimi-v1 model ID refers to the same V1 line that Moonshot's Kimi platform also lists as moonshot-v1; this route serves the 32K vision preview tier of that family.

The vision preview accepts image input alongside text and can read text in images, identify colors, and describe object shapes, which covers screenshot interpretation, chart reading, and lightweight document OCR. Images are billed as tokens based on resolution, and Moonshot notes that resolutions above 4K add cost without improving understanding.

The 32K context tier sits between the 8K and 128K variants, fitting multi-turn conversations and medium-length documents that mix visuals with text. The API is OpenAI-compatible and supports streaming and tool calling.

Context Window 33K

tokens

Max Output 33K

tokens

Input Cost $1

per million tokens

Output Cost $3

per million tokens

Input text, image

modalities

Tool Use Yes

 

Release Date Jan 15, 2025

 

Code Example

Add AI to your app with the Puter.js AI API — no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

More AI Models From Moonshot AI

Find other Moonshot AI models

Chat

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.

Chat

Kimi 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.

Chat

Kimi 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

How do I use Kimi V1 32K Vision Preview?

Kimi V1 32K Vision Preview is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Kimi V1 32K Vision Preview?
Kimi V1 32K Vision Preview costs $1 per 1M input tokens and $3 per 1M output tokens.
Price per 1M tokens
Input$1
Output$3
Who created Kimi V1 32K Vision Preview?

Kimi V1 32K Vision Preview was created by Moonshot AI and released on Jan 15, 2025.

What is the context window of Kimi V1 32K Vision Preview?

Kimi V1 32K Vision Preview supports a context window of 33K tokens. For reference, that is roughly equivalent to 66 pages of text.

What is the max output length of Kimi V1 32K Vision Preview?

Kimi V1 32K Vision Preview can generate up to 33K tokens in a single response.

What types of input can Kimi V1 32K Vision Preview process?

Kimi V1 32K Vision Preview accepts the following input types: text, image. It produces: text.

Does Kimi V1 32K Vision Preview support tool use (function calling)?

Yes, Kimi V1 32K Vision Preview supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Kimi V1 32K 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 AI to your application without worrying about API keys or setup.

Explore Models View Tutorials