About
MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts.
Pricing
| Input | $0.94 | per 1M prompt tokens |
|---|---|---|
| Output | $4.69 from $4.20 | per 1M generated tokens, reasoning included |
| Cached input | $0.25 | per 1M tokens read back from the prompt cache |
25% 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 | $3.29 |
| Question over a long document40,000 in · 800 out | $0.041 | $41.34 |
| Agent tool step20,000 in · 1,200 out | $0.024 | $24.42 |
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
- #7SlidesAgent arenaElo 120154% wins
- #20Godot gamesAgent arenaElo 114749% wins
- #21Game devAgent arenaElo 113043% wins
- #22Full stackAgent arenaElo 117551% wins
- #24ASCII artModel arenaElo 120048% wins
- #25Android appsAgent arenaElo 115146% wins
- #25Web appsAgent arenaElo 116947% wins
- #29Mobile appsAgent arenaElo 114046% wins
- #33WebsitesModel arenaElo 126651% wins
- #35SVGModel arenaElo 117644% 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-k2.7-code",
"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-k2.7-code",
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-k2.7-code",
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