How do I call Command A+ 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 "cohere/command-a-plus". Nothing else in your code changes.

What does Command A+ cost in toman?

103,866 toman per 1M input tokens and 519,329 toman per 1M output tokens; a 1,000-word request is around 810 toman. You pay for the usage that request actually reported, and a failed request costs nothing.

How much input does Command A+ take?

Up to 192,000 tokens per request, roughly 144k words. A single answer can reach 64,000 tokens.

Does Command A+ 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.

Command A+ API: toman pricing and code

cohere/command-a-plus

Image inputTool callingReasoningJSON output

Create a key Try it

Input · per 1M tokens

103,866 toman

Output · per 1M tokens

519,329 toman

One 1,000-word request ≈

810 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

Command A+ 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.

curlPythonNode.js

# 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": "cohere/command-a-plus",
    "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="cohere/command-a-plus",
    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: "cohere/command-a-plus",
  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 Command A+ good for?

Command A+ comes from Cohere; in uttapen you reach it with the model id "cohere/command-a-plus". It accepts up to 192,000 tokens of input per call, so a long document or several source files fit in a single request. A single response can run to 64,000 tokens. On price it sits in the "cheap" band — cheaper than 213 and dearer than 178 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 810 toman per 1,000-word exchange (103,866 in, 519,329 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 Gemini 3 Flash Preview (batch), and Command A+ costs about the same, 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 123 thousand-word requests on Command A+, and every 1,000 toman is about 1,235 words of round trip. A job with one million input tokens and one million output tokens comes to 623,195 toman in total. Filling this model's 192,000-token window costs 19,942 toman on the input side alone, which is the real reason to keep conversation history short.

Cohere has 6 models in our catalogue; the cheapest is Command R7B (12-2024) at 84 toman per thousand words and the dearest Command R+ (08-2024) at 5,626. Among the less common parameters it accepts presence_penalty, top_k — all through the standard request body. It does not support tool_choice, 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 Claude Haiku 4.5 at 200,000 tokens.

What to use it for: 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.

Provider's own description

Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured...

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	364 toman
Summarising a ten-page document	4,000 in + 600 out	727 toman
Classifying a thousand short rows	120,000 in + 20,000 out	22,850 toman

Job

Tokens

Cost

One chat turn with a medium history

1,500 in + 400 out

364 toman

Summarising a ten-page document

4,000 in + 600 out

727 toman

Classifying a thousand short rows

120,000 in + 20,000 out

22,850 toman

Frequently asked

How do I call Command A+ 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 "cohere/command-a-plus". Nothing else in your code changes.
What does Command A+ cost in toman?: 103,866 toman per 1M input tokens and 519,329 toman per 1M output tokens; a 1,000-word request is around 810 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does Command A+ take?: Up to 192,000 tokens per request, roughly 144k words. A single answer can reach 64,000 tokens.
Does Command A+ 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.