Requesty

mythomax-l2-13b

Gryphe/Open weights/1 provider

The idea behind this merge is that each layer is composed of several tensors, which are in turn responsible for specific functions. Using MythoLogic-L2's robust understanding as its input and Huginn's extensive writing capability as its output seems to have resulted in a model that exceeds at both, confirming my theory. (More details to be released at a later time).More
Compare 1 endpointAll models →

Which id to call

novita/gryphe/mythomax-l2-13b

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

From /1M input

$0.09

Novita AI

Context

4K

tokens

Endpoints

1

1 region

Regions

1

chat

Capabilities 1/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

1 endpoint / 1 region

Providers serving mythomax-l2-13b

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.

Providers serving mythomax-l2-13b, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1Novita AIGlobal4K$0.09$0.09$0.09zdr

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

novita/gryphe/mythomax-l2-13b

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="novita/gryphe/mythomax-l2-13b",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Reference

mythomax-l2-13b questions

Which providers serve mythomax-l2-13b?

mythomax-l2-13b is available from 1 provider through Requesty: Novita AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does mythomax-l2-13b cost?

Pricing starts at $0.09 per million input tokens and $0.09 per million output tokens on Novita AI, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is mythomax-l2-13b open weights?

Yes. mythomax-l2-13b is an open-weights model from Gryphe, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.

What is the context window of mythomax-l2-13b?

mythomax-l2-13b supports up to 4K tokens of context. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use mythomax-l2-13b with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/gryphe/mythomax-l2-13b" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Route mythomax-l2-13b through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

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