Kimi K2 0711 API: toman pricing and code
moonshotai/kimi-k2
toolsYou are billed for the usage the request actually reported. Prices follow the market.Pricing and top-ups
Kimi K2 0711 example: tool calling
The example is picked from this model's own capabilities. Drop in your key and it runs as is.
from openai import OpenAI
import json
client = OpenAI(base_url="https://api.uttapen.ir/v1", api_key="sk-up-…")
tools = [{
"type": "function",
"function": {
"name": "check_stock",
"description": "Returns the stock level of a product",
"parameters": {
"type": "object",
"properties": {"sku": {"type": "string"}},
"required": ["sku"],
},
},
}]
messages = [{"role": "user", "content": "How many of the Nike NK-42 shoe are in stock?"}]
first = client.chat.completions.create(model="moonshotai/kimi-k2", messages=messages, tools=tools)
call = first.choices[0].message.tool_calls[0]
# you run the function yourself — the model never touches the database
args = json.loads(call.function.arguments)
result = {"sku": args["sku"], "qty": 7}
messages += [first.choices[0].message, {"role": "tool", "tool_call_id": call.id, "content": json.dumps(result)}]
final = client.chat.completions.create(model="moonshotai/kimi-k2", messages=messages, tools=tools)
print(final.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.uttapen.ir/v1", apiKey: "sk-up-…" });
const tools = [{
type: "function",
function: {
name: "check_stock",
description: "Returns the stock level of a product",
parameters: { type: "object", properties: { sku: { type: "string" } }, required: ["sku"] },
},
}];
const messages = [{ role: "user", content: "How many of the Nike NK-42 shoe are in stock?" }];
const first = await client.chat.completions.create({ model: "moonshotai/kimi-k2", messages, tools });
const call = first.choices[0].message.tool_calls[0];
const args = JSON.parse(call.function.arguments);
const result = { sku: args.sku, qty: 7 };
messages.push(first.choices[0].message, { role: "tool", tool_call_id: call.id, content: JSON.stringify(result) });
const final = await client.chat.completions.create({ model: "moonshotai/kimi-k2", messages, tools });
console.log(final.choices[0].message.content);curl https://api.uttapen.ir/v1/chat/completions \
-H "Authorization: Bearer sk-up-…" \
-H "Content-Type: application/json" \
-d '{
"model": "moonshotai/kimi-k2",
"messages": [{"role": "user", "content": "How many of the Nike NK-42 shoe are in stock?"}],
"tools": [{
"type": "function",
"function": {
"name": "check_stock",
"parameters": {"type": "object", "properties": {"sku": {"type": "string"}}, "required": ["sku"]}
}
}]
}'What is Kimi K2 0711 good for?
Kimi K2 0711 is one of Moonshot (Kimi)'s models. Put "moonshotai/kimi-k2" in the model field and the rest of your code stays as it is. Kimi K2 0711 keeps 131,072 tokens in view at once, and that number is what caps the conversation history in your product. A single response can run to 100,352 tokens. On price it sits in the "mid-range" band — cheaper than 221 and dearer than 185 of the other paid models in the catalogue.
Capabilities available on this id: it supports tool calling, so it can invoke your own functions with valid arguments. All of it works through the standard parameters of the official OpenAI SDK — no custom client, no wrapper.
For a back-of-envelope figure: about 1,082 toman per 1,000-word exchange (165,371 in, 667,288 out, per 1M tokens). You are always charged for the usage the request actually reported, never for the estimate, and a failed request costs nothing.
The closest alternative with the same capabilities from a different provider is Qwen3 235B A22B Thinking 2507: Kimi K2 0711 works out roughly 1.1× more expensive, and its context window is the same size. Both run on the same key and the same code, so trying the other one is a single string change.
To make the figure concrete: 100,000 toman of credit buys roughly 92 thousand-word requests on Kimi K2 0711, and every 1,000 toman is about 924 words of round trip. A job with one million input tokens and one million output tokens comes to 832,659 toman in total. Filling this model's 131,072-token window costs 21,676 toman on the input side alone, which is the real reason to keep conversation history short.
Moonshot (Kimi) has 9 models in our catalogue; the cheapest is Kimi K2.5 at 1,018 toman per thousand words and the dearest Kimi K3 (batch) at 6,789. Among the less common parameters it accepts repetition_penalty, top_k — all through the standard request body. It does not support include_reasoning, reasoning, response_format, structured_outputs, which most models here do, so test before switching if your code relies on them. By context size the nearest option from another provider is Aion-2.0 at 131,072 tokens.
What to use it for: product chatbots and internal assistants, where cost and quality have to balance, agents that reach out to APIs and databases.
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...
Three real jobs, priced on this model
Each figure is derived from the prices above and moves when they do.
| Job | Tokens | Cost |
|---|---|---|
| One chat turn with a medium history | 1,500 in + 400 out | 515 toman |
| Summarising a ten-page document | 4,000 in + 600 out | 1,062 toman |
| Classifying a thousand short rows | 120,000 in + 20,000 out | 33,190 toman |
Frequently asked
- How do I call Kimi K2 0711 from Iran?
- Sign up with your mobile number, top the wallet up in toman, create an API key, then in the official OpenAI SDK point base_url at https://api.uttapen.ir/v1 and set model to "moonshotai/kimi-k2". Nothing else in your code changes.
- What does Kimi K2 0711 cost in toman?
- 165,371 toman per 1M input tokens and 667,288 toman per 1M output tokens; a 1,000-word request is around 1,082 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
- How much input does Kimi K2 0711 take?
- Up to 131,072 tokens per request, roughly 98k words. A single answer can reach 100,352 tokens.
- Does Kimi K2 0711 support streaming and tool calling?
- Streaming (stream=true) works on every model here. This one supports tool calling in the standard OpenAI shape.