About
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration.
Pricing
| Input | $1.13 | per 1M prompt tokens |
|---|---|---|
| Output | $5.39 | per 1M generated tokens, reasoning included |
What a request costs
| Typical request | Each | Per 1,000 |
|---|---|---|
| Short chat reply1,500 in · 400 out | $0.0039 | $3.86 |
| Question over a long document40,000 in · 800 out | $0.050 | $49.67 |
| Agent tool step20,000 in · 1,200 out | $0.029 | $29.15 |
At the developer-API rate, before any provider promotion or prompt-cache saving. In the app, the model picker shows what a message costs on your plan before you send it.
Benchmarks
Head-to-head rankings
- #2SlidesAgent arenaElo 124859% wins
- #6Web appsAgent arenaElo 126859% wins
- #20Game devAgent arenaElo 114148% wins
- #21Android appsAgent arenaElo 117449% wins
- #25Full stackAgent arenaElo 115549% wins
- #253DModel arenaElo 126858% wins
- #26Mobile appsAgent arenaElo 115348% wins
- #28Godot gamesAgent arenaElo 112047% wins
- #28CodeModel arenaElo 127355% wins
- #29WebsitesModel arenaElo 127154% wins
Scores from Artificial Analysis; bars are scaled to the best model on our list. Rankings from Design Arena head-to-head votes. Published by OpenRouter alongside its catalogue.
Call it from code
OpenAI-compatible: point any OpenAI SDK at https://api.privateer.pro/v1 and set
model. Keys are created in the app under Settings.
curl https://api.privateer.pro/v1/chat/completions \
-H "Authorization: Bearer $PRIVATEER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "near/moonshotai/kimi-k2.6",
"messages": [{ "role": "user", "content": "Hello" }]
}'
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.privateer.pro/v1",
api_key=os.environ["PRIVATEER_API_KEY"],
)
reply = client.chat.completions.create(
model="near/moonshotai/kimi-k2.6",
messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.privateer.pro/v1",
apiKey: process.env.PRIVATEER_API_KEY,
});
const reply = await client.chat.completions.create({
model: "near/moonshotai/kimi-k2.6",
messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);