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Moonshot AI: Kimi V1 8K

This model is no longer available.

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Kimi V1 8K is a general-purpose chat model from Moonshot AI, the Chinese company behind the Kimi assistant. The kimi-v1 name follows the Kimi branding Moonshot now uses for its API platform, and the route matches the original moonshot-v1 8K tier, with the same 8,192-token context window and pricing.

Like the rest of the v1 family, the variants differ only by context length. The 8K tier is the smallest and cheapest, aimed at short tasks such as single-turn Q&A, classification, and brief summaries where inputs and outputs fit in a small window.

The API is OpenAI-compatible, so it works with existing OpenAI SDK setups by changing the base URL and API key. Input costs $0.20 per million tokens and output $2, which suits high-volume, short-context workloads.

Context Window 8K

tokens

Max Output 8K

tokens

Input Cost $0.2

per million tokens

Output Cost $2

per million tokens

Input text

modalities

Release Date Jan 31, 2024

 

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

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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.

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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 8K?

Kimi V1 8K is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Kimi V1 8K?
Kimi V1 8K costs $0.2 per 1M input tokens and $2 per 1M output tokens.
Price per 1M tokens
Input$0.2
Output$2
Who created Kimi V1 8K?

Kimi V1 8K was created by Moonshot AI and released on Jan 31, 2024.

What is the context window of Kimi V1 8K?

Kimi V1 8K supports a context window of 8K tokens. For reference, that is roughly equivalent to 16 pages of text.

What is the max output length of Kimi V1 8K?

Kimi V1 8K can generate up to 8K tokens in a single response.

What types of input can Kimi V1 8K process?

Kimi V1 8K accepts the following input types: text. It produces: text.

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

Yes — the Kimi V1 8K 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.

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