Create an API key

gpt-oss-20b (batch) API: toman pricing and code

openai/gpt-oss-20b:batch

Tool callingReasoningJSON output
Create a keyTry it
Input · per 1M tokens
8,309 toman
Output · per 1M tokens
38,777 toman
One 1,000-word request ≈
61 toman

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

gpt-oss-20b (batch) 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.

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="openai/gpt-oss-20b:batch",
    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: "openai/gpt-oss-20b:batch",
  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": "openai/gpt-oss-20b:batch",
    "messages": [{"role": "user", "content": "Classify the ticket and give it a priority from 1 to 5."}],
    "response_format": {"type": "json_object"}
  }'

What is gpt-oss-20b (batch) good for?

gpt-oss-20b (batch) comes from OpenAI; in uttapen you reach it with the model id "openai/gpt-oss-20b:batch". It accepts up to 131,072 tokens of input per call, so a long document or several source files fit in a single request. A single response can run to 117,964 tokens. On price it sits in the "very cheap" band — cheaper than 380 and dearer than 18 of the other paid models in the catalogue.

What it can do beyond plain text: 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 8,309 toman per 1M input tokens and 38,777 per 1M output tokens. A 1,000-word round trip on gpt-oss-20b (batch) lands near 61 toman. 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 Nova Micro 1.0: gpt-oss-20b (batch) works out about 23% 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 1,639 thousand-word requests on gpt-oss-20b (batch), and every 1,000 toman is about 16,393 words of round trip. A job with one million input tokens and one million output tokens comes to 47,086 toman in total. Filling this model's 131,072-token window costs 1,089 toman on the input side alone, which is the real reason to keep conversation history short.

This id gets confused with "openai/gpt-oss-20b", because the underlying model is the same. The difference is the suffix: "batch" against the standard variant. On a thousand-word request this variant works out about 17% cheaper (61 against 72 toman). On parameters the other takes logprobs, top_logprobs.

OpenAI has 81 models in our catalogue; the cheapest is gpt-oss-20b (batch) at 61 toman per thousand words and the dearest GPT-5.5 Pro at 94,518. Among the less common parameters it accepts logit_bias, min_p, presence_penalty, reasoning_effort, repetition_penalty, top_k — all through the standard request body. By context size the nearest option from another provider is Aion-2.0 at 131,072 tokens.

Good fits: high-volume work such as classification, tagging and bulk summarising, logic puzzles and code review, agents that reach out to APIs and databases, extracting data against a fixed schema.

Provider's own description

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

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 out28 toman
Summarising a ten-page document4,000 in + 600 out57 toman
Classifying a thousand short rows120,000 in + 20,000 out1,773 toman

Other variants of this model

Same core model, different execution terms and different price. This page is the batch variant.

VariantModel idOutput / 1MContext
standardopenai/gpt-oss-20b45,009131,072

Put the variant's id verbatim in the model field; nothing else in your code changes.

Price history

DateInput (toman/1M)Output (toman/1M)
22 Sep 20268,30938,777
7 Sep 202617,31169,244

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

Frequently asked

How do I call gpt-oss-20b (batch) 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 "openai/gpt-oss-20b:batch". Nothing else in your code changes.
What does gpt-oss-20b (batch) cost in toman?
8,309 toman per 1M input tokens and 38,777 toman per 1M output tokens; a 1,000-word request is around 61 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does gpt-oss-20b (batch) take?
Up to 131,072 tokens per request, roughly 98k words. A single answer can reach 117,964 tokens.
Does gpt-oss-20b (batch) support streaming and tool calling?
Streaming (stream=true) works on every model here. This one supports tool calling in the standard OpenAI shape. Structured output through response_format works too.