Moonshot AI: Kimi K2 0711 Preview
This model is no longer available.Add AI to your application with Puter.js.
Explore Other ModelsModel Card
Kimi K2 0711 Preview is the July 11, 2025 snapshot of Moonshot AI's Kimi K2, a non-thinking Mixture-of-Experts model built for agentic tasks and served through Moonshot's OpenAI-compatible API. It targets tool use, code generation, and multi-step autonomous workflows within a 128K token context window.
On benchmarks, it scored 65.8% on SWE-bench Verified, 66.1 on Tau2-bench, 76.5 on ACEBench (en), 75.1% on GPQA-Diamond, and 49.5% on AIME 2025. Moonshot's technical report shows it outperforming most open- and closed-weight models in non-thinking settings, and it ranked as the top open-source model on the LMArena leaderboard at release.
As a dated snapshot, its behavior stays fixed while later updates (such as the 0905 version) ship separately, which suits developers who want reproducible results from the original K2 in agent and tool-calling pipelines.
Context Window 131K
tokens
Max Output 131K
tokens
Input Cost $0.6
per million tokens
Output Cost $2.5
per million tokens
Input text
modalities
Tool Use Yes
Release Date Jul 11, 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 →
Kimi K3.1 Pro
Kimi K3.1 Pro is a multimodal language model from Moonshot AI, announced October 23, 2026 as a post-trained upgrade of Kimi K3. It accepts text, image, and video input, has a 1-million-token context window, and Moonshot plans to release the weights by November 4. Moonshot reports 65.7% on Terminal-Bench 4.0, ahead of GPT-6 Astra and slightly behind Claude Opus 5.5, and 92.7% on BenchCAD, a 3D model coding benchmark. It also reports higher scores than both models on OfficeQA Pro v2, a financial analysis benchmark. Cybersecurity benchmark scores trail both, since Moonshot removed cybersecurity content from post-training data. It suits developers building coding agents, tool-calling pipelines, and financial or document analysis workflows that need long context and multimodal input.
ChatKimi K3.1 Pro HighSpeed
Kimi K3.1 Pro HighSpeed is the faster-serving variant of Kimi K3.1 Pro, the multimodal language model from Moonshot AI announced in October 2026. It accepts text, image, and video input and has a 1-million-token context window. Moonshot says it delivers the same model capabilities as Kimi K3.1 Pro at 2 to 3 times the output speed, for more responsive interactions. It is priced at twice the standard model's rate. Choose it when latency matters more than cost, such as interactive coding agents, tool-calling loops with many sequential steps, and chat or document analysis features where users wait on the response. For batch or background jobs, the standard Kimi K3.1 Pro costs less.
ChatKimi 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.
Frequently Asked Questions
Kimi K2 0711 Preview is no longer available through Puter.js. Explore other AI models for alternatives.
| Price per 1M tokens | |
|---|---|
| Input | $0.6 |
| Output | $2.5 |
Kimi K2 0711 Preview was created by Moonshot AI and released on Jul 11, 2025.
Kimi K2 0711 Preview supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Kimi K2 0711 Preview can generate up to 131K tokens in a single response.
Kimi K2 0711 Preview accepts the following input types: text. It produces: text.
Yes, Kimi K2 0711 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 Kimi K2 0711 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