How do I call Claude Fable 5.1 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 "anthropic/claude-fable-5.1". Nothing else in your code changes.

What does Claude Fable 5.1 cost in toman?

3,462,194 toman per 1M input tokens and 17,310,968 toman per 1M output tokens; a 1,000-word request is around 27,005 toman. You pay for the usage that request actually reported, and a failed request costs nothing.

How much input does Claude Fable 5.1 take?

Up to 1,000,000 tokens per request, roughly 750k words. A single answer can reach 128,000 tokens.

Does Claude Fable 5.1 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.

Claude Fable 5.1 API: toman pricing and code

anthropic/claude-fable-5.1

Image inputTool callingReasoningJSON outputFile input

Create a key Try it

Input · per 1M tokens

3,462,194 toman

Output · per 1M tokens

17,310,968 toman

One 1,000-word request ≈

27,005 toman

You are billed for the usage the request actually reported. Prices follow the market. Cached input: 86,555 toman per 1M tokens. Web search: 3,462.19 toman per request.Pricing and top-ups

Claude Fable 5.1 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": "anthropic/claude-fable-5.1",
    "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="anthropic/claude-fable-5.1",
    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: "anthropic/claude-fable-5.1",
  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 Claude Fable 5.1 good for?

The id for Claude Fable 5.1 in our API is "anthropic/claude-fable-5.1", served from Anthropic. Context is 1,000,000 tokens; past that you have to summarise the history yourself. A single response can run to 128,000 tokens. On price it sits in the "expensive" band — cheaper than 7 and dearer than 385 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 takes files such as PDFs as input; 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 27,005 toman per 1,000-word exchange (3,462,194 in, 17,310,968 out, per 1M tokens). It supports cached input: repeated context is billed at 86,555 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 GPT-6 Astra, and Claude Fable 5.1 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 4 thousand-word requests on Claude Fable 5.1, and every 1,000 toman is about 37 words of round trip. A job with one million input tokens and one million output tokens comes to 20,773,161 toman in total. Filling this model's 1,000,000-token window costs 3,462,194 toman on the input side alone, which is the real reason to keep conversation history short.

This id gets confused with "anthropic/claude-fable-5.1:batch", because the underlying model is the same. The difference is the suffix: no suffix (the standard variant) against "batch". On a thousand-word request this variant works out about 2× more expensive (27,005 against 13,503 toman). On parameters, this one takes max_completion_tokens.

Anthropic has 24 models in our catalogue; the cheapest is Claude Haiku 5.5 (batch) at 135 toman per thousand words and the dearest Claude Opus 4.1 at 40,508. Among the less common parameters it accepts max_completion_tokens, reasoning_effort, verbosity — all through the standard request body. It does not support temperature, top_p, 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 Nova 2 Lite at 1,000,000 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

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

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	12,118 toman
Summarising a ten-page document	4,000 in + 600 out	24,235 toman
Classifying a thousand short rows	120,000 in + 20,000 out	761,683 toman

Job

Tokens

Cost

One chat turn with a medium history

1,500 in + 400 out

12,118 toman

Summarising a ten-page document

4,000 in + 600 out

24,235 toman

Classifying a thousand short rows

120,000 in + 20,000 out

761,683 toman

Other variants of this model

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

Variant	Model id	Output / 1M	Context
batch	anthropic/claude-fable-5.1:batch	8,655,484	1,000,000

Variant

Model id

Output / 1M

Context

batch

anthropic/claude-fable-5.1:batch

8,655,484

1,000,000

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

Frequently asked

How do I call Claude Fable 5.1 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 "anthropic/claude-fable-5.1". Nothing else in your code changes.
What does Claude Fable 5.1 cost in toman?: 3,462,194 toman per 1M input tokens and 17,310,968 toman per 1M output tokens; a 1,000-word request is around 27,005 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does Claude Fable 5.1 take?: Up to 1,000,000 tokens per request, roughly 750k words. A single answer can reach 128,000 tokens.
Does Claude Fable 5.1 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.