# Kimi K2 Instruct API

Moonshot's Kimi K2 Instruct, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send kimi-k2-instruct as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

## Facts

- Model name: kimi-k2-instruct
- Maker: Moonshot
- Context window: 256K tokens
- Input price: $0.401 per million tokens
- Output price: $1.804 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.401 input and $1.804 output per million tokens, $0.401 cache read per million tokens, 256K tokens of context

## Request

```sh
curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k2-instruct",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Kimi K2 Instruct?

Served by intent-router: each job goes to the cheapest healthy upstream for this model.

### How much does Kimi K2 Instruct cost?

Offers now ask $0.401 per million input tokens and $1.804 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.

### What is the context length of Kimi K2 Instruct?

The largest offer takes 256,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Kimi K2 Instruct do?

Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.

### What inputs and outputs does Kimi K2 Instruct support?

Text → Text.

### Which providers serve Kimi K2 Instruct?

1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.

### How do I call Kimi K2 Instruct?

Send "kimi-k2-instruct" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Kimi K2 Instruct listed?

The exchange first listed it on 10/8/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/kimi-k2-instruct)
- [Kimi K3](https://liquidinference.ai/models/kimi-k3.md)
- [Kimi k2.6:thinking](https://liquidinference.ai/models/kimi-k2.6%3Athinking.md)
- [Kimi K2 Instruct 0905](https://liquidinference.ai/models/kimi-k2-instruct-0905.md)
- [Kimi K2 Instruct FP4](https://liquidinference.ai/models/kimi-k2-instruct-fp4.md)
- [Kimi K2 Instruct Fast](https://liquidinference.ai/models/kimi-k2-instruct-fast.md)
- [Kimi K2 Instruct 0711](https://liquidinference.ai/models/kimi-k2-instruct-0711.md)
- [Set up a client](https://liquidinference.ai/connect/kimi-k2-instruct)
- [All models](https://liquidinference.ai/models)
- [Providers](https://liquidinference.ai/providers.md)
- [Discover the best model for your budget](https://liquidinference.ai/discover)
- [Quickstart](https://liquidinference.ai/docs/quickstart.md)
- [llms.txt: the index of every page, as Markdown](https://liquidinference.ai/llms.txt)
- [llms-full.txt: every page in one file](https://liquidinference.ai/llms-full.txt)