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mythomax-l2-13bGryphe

from /1M in$0.09novita ai
context4Ktokens
providers11 region
endpoints11 region
endpoints
1
regions
1
api
chat
released
July 2023

capabilities 1/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

endpoints

1 / 1 region
Providers serving mythomax-l2-13b, with pricing and measured performance. Best value in each column is coloured.
#flags
1Novita AIGlobal4K$0.09$0.09$0.09zdr
provider price, no markupper 1M tokensblank where no qualifying sample

measured

through Sep 12

no measured traffic for this model yet. the endpoints table above carries provider pricing

benchmarks

artificial analysis

no published benchmark scores for this model

call it

model=
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

Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.

quickstart

openai compatible
main.py
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)

Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models

notes

reference

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).

questions 5

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 the cheapest provider. Prices vary by provider and region; the table above shows every endpoint. Requesty charges exactly what the upstream provider charges, with no markup.
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. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology

mythomax-l2-13b1 provider1 endpointsfrom $0.09 /1M inctx 4Kupdated Sep 12