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Kimi Latest API: toman pricing and code

~moonshotai/kimi-latest

This id is an alias that always points at the newest version of this model. Send a fixed version's id if answers must not change when a new version ships.

Image inputTool callingReasoningJSON output
Create a keyTry it
Input · per 1M tokens
53,941 toman
Output · per 1M tokens
3,651,852 toman
One 1,000-word request ≈
4,818 toman

You are billed for the usage the request actually reported. Prices follow the market. Cached input: 51,933 toman per 1M tokens.Pricing and top-ups

Kimi Latest example: reading an image into JSON

The example is picked from this model's own capabilities. Drop in your key and it runs as is.

# tip: a data URI works too — base64 the file and prefix it with data:image/jpeg;base64,
curl https://api.uttapen.ir/v1/chat/completions \
  -H "Authorization: Bearer sk-up-…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "~moonshotai/kimi-latest",
    "messages": [{
      "role": "user",
      "content": [
        {"type": "text", "text": "Return only the invoice number and the total, as JSON."},
        {"type": "image_url", "image_url": {"url": "https://example.com/factor.jpg"}}
      ]
    }]
  }'
import base64, json
from openai import OpenAI

client = OpenAI(base_url="https://api.uttapen.ir/v1", api_key="sk-up-…")

img = base64.b64encode(open("factor.jpg", "rb").read()).decode()

resp = client.chat.completions.create(
    model="~moonshotai/kimi-latest",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Return the invoice number, the date and the total as JSON."},
            {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{img}"}},
        ],
    }],
    response_format={"type": "json_object"},
)
print(json.loads(resp.choices[0].message.content))
import OpenAI from "openai";
import { readFileSync } from "node:fs";

const client = new OpenAI({ baseURL: "https://api.uttapen.ir/v1", apiKey: "sk-up-…" });
const img = readFileSync("factor.jpg").toString("base64");

const resp = await client.chat.completions.create({
  model: "~moonshotai/kimi-latest",
  messages: [{
    role: "user",
    content: [
      { type: "text", text: "Return the invoice number, the date and the total as JSON." },
      { type: "image_url", image_url: { url: `data:image/jpeg;base64,${img}` } },
    ],
  }],
  response_format: { type: "json_object" },
});
console.log(JSON.parse(resp.choices[0].message.content));

What is Kimi Latest good for?

Moonshot (Kimi) publishes this model; we expose it under the id "~moonshotai/kimi-latest". Its context window is 1,048,576 tokens, roughly 786k English words in one request. A single response can run to 943,718 tokens. On price it sits in the "expensive" band — cheaper than 52 and dearer than 346 of the other paid models in the catalogue.

Capabilities available on this id: it reads images directly, which makes it a real option for invoices, forms and screenshots; it supports tool calling, so it can invoke your own functions with valid arguments; it returns schema-valid JSON through response_format, ready to hand to your code; it has a reasoning mode that pays off on multi-step problems, maths and debugging. All of it works through the standard parameters of the official OpenAI SDK — no custom client, no wrapper. Keep in mind that reasoning tokens are output tokens and do appear on the bill.

For a back-of-envelope figure: about 4,818 toman per 1,000-word exchange (53,941 in, 3,651,852 out, per 1M tokens). It supports cached input: repeated context is billed at 51,933 toman per 1M, which matters a lot if your system prompt is long. 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 Claude Opus 5.5 (batch): Kimi Latest works out about 9% cheaper, and its context window is larger. 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 21 thousand-word requests on Kimi Latest, and every 1,000 toman is about 208 words of round trip. A job with one million input tokens and one million output tokens comes to 3,705,793 toman in total. Filling this model's 1,048,576-token window costs 56,561 toman on the input side alone, which is the real reason to keep conversation history short.

Its nearest relative in the catalogue is "moonshotai/kimi-k3.1-pro", and choosing between those two is where most people hesitate. Both land at nearly the same price on a thousand-word request (4,818 and 5,401 toman). On parameters, this one takes max_completion_tokens, parallel_tool_calls.

Moonshot (Kimi) has 10 models in our catalogue; the cheapest is Kimi K2 0711 at 1,292 toman per thousand words and the dearest Kimi K3 at 7,288. Among the less common parameters it accepts logit_bias, logprobs, max_completion_tokens, min_p, parallel_tool_calls, presence_penalty — all through the standard request body. By context size the nearest option from another provider is DeepSeek V4 Flash 0423 at 1,048,576 tokens.

What to use it for: work where the quality of the answer matters more than its cost, logic puzzles and code review, pulling text and fields out of images, agents that reach out to APIs and databases, extracting data against a fixed schema, analysing a long document or codebase in one request.

Provider's own description

This model always redirects to the latest model in the Kimi family.

Three real jobs, priced on this model

Each figure is derived from the prices above and moves when they do.

JobTokensCost
One chat turn with a medium history1,500 in + 400 out1,542 toman
Summarising a ten-page document4,000 in + 600 out2,407 toman
Classifying a thousand short rows120,000 in + 20,000 out79,510 toman

Price history

DateInput (toman/1M)Output (toman/1M)
5 Nov 202653,9413,651,852
5 Nov 202653,5953,233,273
5 Nov 202663,1503,652,960
5 Nov 202663,1503,653,964
5 Nov 202663,1503,233,273
5 Nov 202652,9373,655,107
5 Nov 202663,1503,374,635
5 Nov 202653,2833,233,273
5 Nov 202663,1503,233,273
5 Nov 202663,1503,655,107
5 Nov 202663,1503,374,635
5 Nov 202652,9373,655,107

Every price change for this model is recorded. Toman figures use today's rate.

Frequently asked

How do I call Kimi Latest 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-latest". Nothing else in your code changes.
What does Kimi Latest cost in toman?
53,941 toman per 1M input tokens and 3,651,852 toman per 1M output tokens; a 1,000-word request is around 4,818 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does Kimi Latest take?
Up to 1,048,576 tokens per request, roughly 786k words. A single answer can reach 943,718 tokens.
Does Kimi Latest support streaming and tool calling?
Streaming (stream=true) works on every model here. This one supports tool calling in the standard OpenAI shape. Image input is accepted through image_url, as a data URI or a public URL. Structured output through response_format works too.