identity

open weights
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gryphe/mythomax-l2-13bNovita AI

in /1M$0.09input tokens
out /1M$0.09output tokens
context4Ktokens
trainingnoon your prompts
api
chat
hosting
US
model lab
Gryphe
weights
open
added
July 2023
model id
novita/gryphe/mythomax-l2-13b

capabilities 1/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

pricing

no markup
input
$0.09
output
$0.09
cache write
-
cache read
-

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K out$0.0099
1M in + 100K out$0.0990
10M in + 1M out$0.99

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Sep 12

no measured traffic for this endpoint yet. pricing above is the provider's own

benchmarks

artificial analysis

no published scores for this exact variant. region deployments and highspeed tiers usually share the base model's results

policy

data terms
retention
none
trains on prompts
no
hosted in
US

Terms are the provider's, not Requesty's: routing a request here puts it under them. Novita AI Privacy Policy

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
novita/gryphe/mythomax-l2-13b

this id pins the novita ai deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 providers instead

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 to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. 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

How much does gryphe/mythomax-l2-13b cost?
gryphe/mythomax-l2-13b is priced at $0.09 per million input tokens and $0.09 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of gryphe/mythomax-l2-13b?
gryphe/mythomax-l2-13b has a context window of 4K tokens. That is roughly 5 words of input you can fit in a single prompt.
What can gryphe/mythomax-l2-13b do?
gryphe/mythomax-l2-13b supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use gryphe/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". The quickstart pane shows Python, JavaScript and cURL snippets.
Can I run gryphe/mythomax-l2-13b through Requesty?
Yes. gryphe/mythomax-l2-13b runs through Requesty's OpenAI-compatible API, served from Novita AI. You do not host the model yourself: point base_url at Requesty, set the model to "novita/gryphe/mythomax-l2-13b", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

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call gryphe/mythomax-l2-13b through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology

gryphe/mythomax-l2-13bnovita aiin $0.09 /1Mout $0.09 /1Mctx 4Khosted US