How do I call Uncensored 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 "cognitivecomputations/dolphin-mistral-24b-venice-edition". Nothing else in your code changes.

What does Uncensored cost in toman?

69,244 toman per 1M input tokens and 311,597 toman per 1M output tokens; a 1,000-word request is around 495 toman. You pay for the usage that request actually reported, and a failed request costs nothing.

How much input does Uncensored take?

Up to 128,000 tokens per request, roughly 96k words. A single answer can reach 8,192 tokens.

Can I stream Uncensored's output?

Yes — with stream=true you get SSE events as the tokens are produced. This model has no tool calling and no image input, so pick a different one if you need either.

Uncensored API: toman pricing and code

cognitivecomputations/dolphin-mistral-24b-venice-edition

JSON output

Create a key Try it

Input · per 1M tokens

69,244 toman

Output · per 1M tokens

311,597 toman

One 1,000-word request ≈

495 toman

You are billed for the usage the request actually reported. Prices follow the market.Pricing and top-ups

Uncensored example: JSON output against a schema

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

PythonNode.jscurl

from openai import OpenAI
import json

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

schema = {
    "name": "ticket",
    "schema": {
        "type": "object",
        "properties": {
            "category": {"type": "string", "enum": ["fani", "mali", "forush"]},
            "priority": {"type": "integer", "minimum": 1, "maximum": 5},
            "summary": {"type": "string"},
        },
        "required": ["category", "priority", "summary"],
        "additionalProperties": False,
    },
    "strict": True,
}

resp = client.chat.completions.create(
    model="cognitivecomputations/dolphin-mistral-24b-venice-edition",
    messages=[{"role": "user", "content": "Ticket: "For two days I cannot download my invoice and I was charged twice.""}],
    response_format={"type": "json_schema", "json_schema": schema},
)
print(json.loads(resp.choices[0].message.content))

import OpenAI from "openai";

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

const resp = await client.chat.completions.create({
  model: "cognitivecomputations/dolphin-mistral-24b-venice-edition",
  messages: [{ role: "user", content: "Ticket: "For two days I cannot download my invoice and I was charged twice."" }],
  response_format: {
    type: "json_schema",
    json_schema: {
      name: "ticket",
      strict: true,
      schema: {
        type: "object",
        properties: {
          category: { type: "string", enum: ["fani", "mali", "forush"] },
          priority: { type: "integer", minimum: 1, maximum: 5 },
          summary: { type: "string" },
        },
        required: ["category", "priority", "summary"],
        additionalProperties: false,
      },
    },
  },
});
console.log(JSON.parse(resp.choices[0].message.content));

curl https://api.uttapen.ir/v1/chat/completions \
  -H "Authorization: Bearer sk-up-…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cognitivecomputations/dolphin-mistral-24b-venice-edition",
    "messages": [{"role": "user", "content": "Classify the ticket and give it a priority from 1 to 5."}],
    "response_format": {"type": "json_object"}
  }'

What is Uncensored good for?

Uncensored comes from Cognitive Computations; in uttapen you reach it with the model id "cognitivecomputations/dolphin-mistral-24b-venice-edition". It accepts up to 128,000 tokens of input per call, so a long document or several source files fit in a single request. A single response can run to 8,192 tokens. On price it sits in the "cheap" band — cheaper than 261 and dearer than 133 of the other paid models in the catalogue.

Capabilities available on this id: it returns schema-valid JSON through response_format, ready to hand to your code. 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 495 toman per 1,000-word exchange (69,244 in, 311,597 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 Llama 3.1 Euryale 70B v2.2: Uncensored works out about 33% cheaper, 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 202 thousand-word requests on Uncensored, and every 1,000 toman is about 2,020 words of round trip. A job with one million input tokens and one million output tokens comes to 380,841 toman in total. Filling this model's 128,000-token window costs 8,863 toman on the input side alone, which is the real reason to keep conversation history short.

Among the less common parameters it accepts presence_penalty, top_k — all through the standard request body. It does not support include_reasoning, reasoning, tool_choice, tools, 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 Nova Micro 1.0 at 128,000 tokens.

What to use it for: high-volume work such as classification, tagging and bulk summarising, extracting data against a fixed schema.

Provider's own description

Venice Uncensored Dolphin Mistral 24B Venice Edition is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with Venice.ai. This model is designed as an “uncensored” instruct-tuned LLM, preserving...

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	229 toman
Summarising a ten-page document	4,000 in + 600 out	464 toman
Classifying a thousand short rows	120,000 in + 20,000 out	14,541 toman

Job

Tokens

Cost

One chat turn with a medium history

1,500 in + 400 out

229 toman

Summarising a ten-page document

4,000 in + 600 out

464 toman

Classifying a thousand short rows

120,000 in + 20,000 out

14,541 toman

Frequently asked

How do I call Uncensored 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 "cognitivecomputations/dolphin-mistral-24b-venice-edition". Nothing else in your code changes.
What does Uncensored cost in toman?: 69,244 toman per 1M input tokens and 311,597 toman per 1M output tokens; a 1,000-word request is around 495 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does Uncensored take?: Up to 128,000 tokens per request, roughly 96k words. A single answer can reach 8,192 tokens.
Can I stream Uncensored's output?: Yes — with stream=true you get SSE events as the tokens are produced. This model has no tool calling and no image input, so pick a different one if you need either.