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 | $0.91 from $0.62 | per 1M prompt tokens |
|---|---|---|
| Output | $4.77 from $2.73 | per 1M generated tokens, reasoning included |
| Cached input | $0.21 | per 1M tokens read back from the prompt cache |
37% off right now. The provider is running a promotion, and the developer API bills what the provider actually charged for your call plus our flat markup, so it reaches your bill with nothing to claim. The “from” figure is the cheapest endpoint serving the model; which one answers is the provider’s routing decision, so treat it as a floor. Promotions can end at any time.
What a request costs
| Typical request | Each | Per 1,000 |
|---|---|---|
| Short chat reply1,500 in · 400 out | $0.0033 | $3.27 |
| Question over a long document40,000 in · 800 out | $0.040 | $40.22 |
| Agent tool step20,000 in · 1,200 out | $0.024 | $23.93 |
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": "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="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: "moonshotai/kimi-k2.6",
messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);Parameters this model accepts
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_pparallel_tool_callspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p