Moonshot AI: Kimi K2.6
Multimodal Kimi workhorse for agent loops, coding tasks, and visual context
- Model lab
- Moonshot AI
- Model family
- kimi-k2
Model resources
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/moonshot-ai/kimi-k2-6.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/moonshot-ai/kimi-k2-6"
response = requests.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model_id,
"messages": [{"role": "user", "content": "Hello!"}],
"stream": False,
},
timeout=60,
)
response.raise_for_status()
print(response.json())Use the familiar OpenAI-style chat request format to make model integration easier.
Kimi K2.6 API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.4 / 1M tokens |
| Output | USD 1.592 / 1M tokens |
| Cached input | USD 0.04 / 1M tokens |
Benchmarks
Reasoning
Performance
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Artificial Analysis measurement · Reasoning
| Measurement variant | Output speed | Time to first token | Time to first answer token | End-to-end response time |
|---|---|---|---|---|
| Reasoning | 45.06 tokens/s | 2.84 s | — | — |
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
Kimi K2.6 Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Kimi K2.6This page | USD 0.4 / 1M tokens | USD 1.592 / 1M tokens | 262,144 | Text output · Reasoning · Tool calling |
| Kimi K2.7 Code | USD 0.44 / 1M tokens | USD 1.8 / 1M tokens | 262,144 | Text output · Reasoning · Tool calling |
| Kimi K2.7 Code Highspeed | USD 1.52 / 1M tokens | USD 6.4 / 1M tokens | 262,144 | Text output · Reasoning · Tool calling |
| Kimi K2.5 | USD 0.324 / 1M tokens | USD 1.584 / 1M tokens | 262,144 | Text output · Reasoning · Tool calling |
| Kimi K2 Instruct 0905 | USD 0.48 / 1M tokens | USD 2 / 1M tokens | 262,144 | Text output · Tool calling |
Model specifications
- Input
- text, image, video
- Output
- text
- Context window
- 262,144
- Maximum output
- 262,144
- Release date
- 2026-04-21
- Attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature setting
- Yes
- Open weights
- Yes
Frequently asked questions
What is Kimi K2.6 for?
Multimodal Kimi workhorse for agent loops, coding tasks, and visual context
What inputs and outputs does Kimi K2.6 support?
Recorded inputs: text, images, video; outputs: text.
How is Kimi K2.6 priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.4 / 1M tokens; Output USD 1.592 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Kimi K2.6?
Current model records list Context window 262,144 tokens; Maximum output 262,144 tokens.
What model parameter does the Quickstart use?
The example uses moduck/moonshot-ai/kimi-k2-6. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.
Can I call this model through the Moduck API now?
This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.