Nex-N2.5-Pro API: toman pricing and code
nex-agi/nex-n2.5-pro
You are billed for the usage the request actually reported. Prices follow the market. Cached input: 5,193 toman per 1M tokens.Pricing and top-ups
Nex-N2.5-Pro 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": "nex-agi/nex-n2.5-pro",
"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="nex-agi/nex-n2.5-pro",
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: "nex-agi/nex-n2.5-pro",
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 Nex-N2.5-Pro good for?
The id for Nex-N2.5-Pro in our API is "nex-agi/
What it can do beyond plain text: 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.
Pricing is 25,966 toman per 1M input tokens and 86,555 per 1M output tokens. A 1,000-word round trip on Nex-N2.5-Pro lands near 146 toman. It supports cached input: repeated context is billed at 5,193 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 Haiku 5.5 (batch): Nex-N2.5-Pro works out about 10% more expensive, and its context window is smaller. 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 685 thousand-word requests on Nex-N2.5-Pro, and every 1,000 toman is about 6,849 words of round trip. A job with one million input tokens and one million output tokens comes to 112,521 toman in total. Filling this model's 262,144-token window costs 6,807 toman on the input side alone, which is the real reason to keep conversation history short.
Nex AGI has 2 models in our catalogue; the cheapest is Nex-N2.5-Mini at 56 toman per thousand words and the dearest Nex-N2.5-Pro at 146. Among the less common parameters it accepts logprobs, reasoning_effort, top_k, top_logprobs — all through the standard request body. It does not support response_format, seed, 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 3.5 at 262,144 tokens.
Good fits: high-volume work such as classification, tagging and bulk summarising, 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.
Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...
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 | 74 toman |
| Summarising a ten-page document | 4,000 in + 600 out | 156 toman |
| Classifying a thousand short rows | 120,000 in + 20,000 out | 4,847 toman |
Frequently asked
- How do I call Nex-N2.5-Pro 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 "nex-agi/ nex-n2.5-pro". Nothing else in your code changes. - What does Nex-N2.5-Pro cost in toman?
- 25,966 toman per 1M input tokens and 86,555 toman per 1M output tokens; a 1,000-word request is around 146 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
- How much input does Nex-N2.5-Pro take?
- Up to 262,144 tokens per request, roughly 197k words. A single answer can reach 235,929 tokens.
- Does Nex-N2.5-Pro 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.