Kimi K2 0711
VerifiedMoonshot AI's Kimi K2 handles long-form text with a 128k context window.
About Kimi K2 0711
Kimi K2 0711 is designed as a proprietary LLM with text modality only. Moonshot AI developed it without releasing model weights. The architecture supports a 131072-token context window for processing extended sequences.
Its closed-source status keeps implementation details private. The large context capacity helps maintain coherence across lengthy inputs. This strength suits scenarios that require referencing substantial prior text.
Typical usage includes chat interfaces and document analysis. Developers deploy it for tasks needing sustained context over many turns. Integration focuses on text generation and understanding workflows.
Capabilities
How Kimi K2 0711 compares
Kimi K2 0711 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Kimi K2 0711 ranks #79 of 98
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Extended Document Analysis
The model processes and reasons over documents spanning up to 131072 tokens, extracting insights and generating summaries from lengthy source material.
Complex Multi-turn Conversations
It maintains coherence across extended dialogues while following intricate instructions and handling nuanced follow-up queries.
Multilingual Long-Context Tasks
The model performs text generation, summarization, and reasoning in multiple languages within large context windows.
Strengths & limitations
Strengths
- +Effective use of very large context windows
- +Strong coherence over long inputs
- +High-quality Chinese and English output
Limitations
- –Text-only modality
- –No native vision or multimodal support
- –Knowledge limited to training cutoff
Cost calculator
Estimate what Kimi K2 0711 would cost for your usage.
Based on Kimi K2 0711's $0.57/1M input · $2.30/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "moonshotai/kimi-k2",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: moonshotai/kimi-k2
Editor's verdict
Kimi K2 0711 is Moonshot AI's proprietary language models with a 131K-token context window.
At $2.30 per 1M output tokens, it is mid-priced for its class.
It is available through Moonshot AI's API and aggregators like OpenRouter.
Best suited to effective use of very large context windows and strong coherence over long inputs.
Frequently asked questions
The model supports a context window of 131072 tokens.
User reviews
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