> ## Documentation Index
> Fetch the complete documentation index at: https://docs.anyfast.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Kimi-K2.6
> Kimi-K2.6 multimodal chat model by MoonShot via Anyfast OpenAI-compatible API. Latest, most intelligent, with thinking mode and text/image/video input.
Kimi-K2.6 is the latest and most intelligent model by MoonShot (月之暗面), available through Anyfast via an OpenAI-compatible interface. Compared with Kimi-K2.5, it delivers major gains in agentic coding, long-context reasoning, long-horizon execution, and front-end design, and supports text, image, and video input as well as thinking and non-thinking modes.
## Key capabilities
* **OpenAI-compatible** — Works as a drop-in replacement with the OpenAI SDK
* **256K context** — 262,144 tokens for large documents and multi-turn conversations
* **Multimodal input** — Accepts text, image, and video content
* **Thinking mode** — Toggle via the `thinking` parameter; returns `reasoning_content` and supports Preserved Thinking
* **Long-horizon coding** — More reliable across languages (Rust, Go, Python) and tasks (front-end, ops, performance)
* **Rich features** — Tool Calls (function calling), JSON Mode, Partial Mode, web search, and automatic context caching
## Quick example
```bash cURL theme={null}
curl https://www.anyfast.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k2.6",
"messages": [
{ "role": "user", "content": "Explain quantum entanglement in simple terms." }
]
}'
```
```python Python theme={null}
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://www.anyfast.ai/v1"
)
response = client.chat.completions.create(
model="kimi-k2.6",
messages=[
{"role": "user", "content": "Explain quantum entanglement in simple terms."}
]
)
print(response.choices[0].message.content)
```
```python Streaming theme={null}
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://www.anyfast.ai/v1"
)
stream = client.chat.completions.create(
model="kimi-k2.6",
messages=[
{"role": "user", "content": "Write a short poem about the sea."}
],
stream=True
)
for chunk in stream:
print(chunk.choices[0].delta.content or "", end="")
```
```python Thinking mode theme={null}
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://www.anyfast.ai/v1"
)
# Thinking is enabled by default; pass {"type": "disabled"} to turn it off
completion = client.chat.completions.create(
model="kimi-k2.6",
messages=[
{"role": "user", "content": "Solve x² + 5x + 6 = 0 for x."}
],
extra_body={"thinking": {"type": "enabled"}},
stream=True
)
for chunk in completion:
if chunk.choices and chunk.choices[0].delta:
delta = chunk.choices[0].delta
if hasattr(delta, "reasoning_content") and delta.reasoning_content:
print(delta.reasoning_content, end="", flush=True)
if delta.content:
print(delta.content, end="", flush=True)
```
```python Image input theme={null}
import base64
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://www.anyfast.ai/v1"
)
with open("your_image.jpg", "rb") as f:
img_base = base64.b64encode(f.read()).decode("utf-8")
response = client.chat.completions.create(
model="kimi-k2.6",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "Describe this image."},
{
"type": "image_url",
"image_url": {
"url": f"data:image/jpeg;base64,{img_base}"
# or a file reference: "url": "ms://"
}
}
]
}
]
)
print(response.choices[0].message.content)
```
```python Video input theme={null}
import base64
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://www.anyfast.ai/v1"
)
with open("your_video.mp4", "rb") as f:
video_base = base64.b64encode(f.read()).decode("utf-8")
response = client.chat.completions.create(
model="kimi-k2.6",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "Summarize this video."},
{
"type": "video_url",
"video_url": {
"url": f"data:video/mp4;base64,{video_base}"
# or a file reference: "url": "ms://"
}
}
]
}
]
)
print(response.choices[0].message.content)
```
```bash cURL (image) theme={null}
curl https://www.anyfast.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k2.6",
"messages": [
{
"role": "user",
"content": [
{"type": "text", "text": "Describe this image."},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,iVBORw0KGgo..."}}
]
}
]
}'
```
> **Note:** `image_url` and `video_url` accept two formats: a base64 data URI (`data:image/png;base64,...` / `data:video/mp4;base64,...`) or a file reference (`ms://`). Tokens served from the context cache are reported in `usage.prompt_tokens_details.cached_tokens`.
## Parameters
| Parameter | Type | Required | Description |
| ----------------------- | -------------- | -------- | -------------------------------------------------------------------------------------------------------------------------------- |
| `model` | string | Yes | Must be `kimi-k2.6` |
| `messages` | array | Yes | List of `{ role, content }` objects. `content` may be a string or a multimodal array of `text`/`image_url`/`video_url` |
| `thinking` | object | No | Controls thinking mode, e.g. `{"type": "enabled"}` (default) or `{"type": "disabled"}`; `keep: "all"` enables Preserved Thinking |
| `max_completion_tokens` | integer | No | Maximum tokens to generate. (`max_tokens` is deprecated and not honored) |
| `temperature` | float | No | `0`–`2`. Controls randomness. Default: `1` |
| `stream` | boolean | No | Enable SSE streaming. Default: `false` |
| `top_p` | float | No | Nucleus sampling threshold. Default: `1` |
| `response_format` | object | No | Set to `{"type": "json_object"}` to enable JSON Mode |
| `tools` | array | No | A list of tools the model may call (function calling) |
| `stop` | string / array | No | Sequences that stop generation (up to 5, max 32 bytes each) |
View the interactive API playground for Kimi-K2.6.