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MythoMax 13B API: toman pricing and code

gryphe/mythomax-l2-13b

json
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Input · per 1M tokens
17,408 toman
Output · per 1M tokens
17,408 toman
One 1,000-word request ≈
45 toman

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

MythoMax 13B 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="gryphe/mythomax-l2-13b",
    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))

What is MythoMax 13B good for?

The id for MythoMax 13B in our API is "gryphe/mythomax-l2-13b", served from Gryphe. Context is 8,192 tokens; past that you have to summarise the history yourself. A single response can run to 3,686 tokens. On price it sits in the "very cheap" band — cheaper than 4 and dearer than 402 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 45 toman per 1,000-word exchange (17,408 in, 17,408 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 8B Lunaris: MythoMax 13B works out roughly 1.3× more expensive, and its context window is the same size. 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 2,222 thousand-word requests on MythoMax 13B, and every 1,000 toman is about 22,222 words of round trip. A job with one million input tokens and one million output tokens comes to 34,815 toman in total. Filling this model's 8,192-token window costs 143 toman on the input side alone, which is the real reason to keep conversation history short.

Among the less common parameters it accepts logit_bias, logprobs, min_p, repetition_penalty, top_a, 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 R1 Distill Llama 70B at 8,192 tokens.

What to use it for: high-volume work such as classification, tagging and bulk summarising, extracting data against a fixed schema, short single-turn requests (the context window is small).

Provider's own description

One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge

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 out33 toman
Summarising a ten-page document4,000 in + 600 out80 toman
Classifying a thousand short rows120,000 in + 20,000 out2,437 toman

Frequently asked

How do I call MythoMax 13B 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 "gryphe/mythomax-l2-13b". Nothing else in your code changes.
What does MythoMax 13B cost in toman?
17,408 toman per 1M input tokens and 17,408 toman per 1M output tokens; a 1,000-word request is around 45 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does MythoMax 13B take?
Up to 8,192 tokens per request, roughly 6k words. A single answer can reach 3,686 tokens.
Can I stream MythoMax 13B'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.