MythoMax 13B

MythoMax is an older but still popular Llama 2 merge, known for creative writing and a permissive default. Served through Redline on one OpenAI-compatible endpoint, priced at $0.092 in and $0.127 out per million tokens.

Model idgryphe/mythomax-l2-13b
Taguncensored
Context8k tokens
Input price$0.092 / million tokens
Output price$0.127 / million tokens
Tool callingNot supported

What the uncensored tag actually means

gryphe/mythomax-l2-13b is tagged uncensored, which here means a loosely aligned finetune. It refuses far less than a frontier instruct model, but it is not abliterated: the refusal behaviour was reduced by training, not surgically removed, so it can still decline. Nothing about the tag promises it will answer anything.

Call it with curl

curl https://redline-gateway.pages.dev/v1/chat/completions \
  -H "Authorization: Bearer rl-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gryphe/mythomax-l2-13b",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Call it with the OpenAI SDK

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://redline-gateway.pages.dev/v1",
    api_key="rl-...",
)

resp = client.chat.completions.create(
    model="gryphe/mythomax-l2-13b",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

In Claude Code

No tool calling This model does not advertise tool calling, so it cannot drive an agent like Claude Code that needs to edit files or run commands. A tool request to it returns a 400 that names the model and costs nothing. Use it for chat and generation through the OpenAI-compatible endpoint below.

FAQ

What does the uncensored tag mean?

Uncensored here means a loosely aligned finetune that refuses much less than a frontier model, but can still decline. It is not the same as abliterated.

Does MythoMax 13B store my prompts?

No. Redline stores the model id, token counts and cost, not the prompt or completion, and returns a signed receipt of the prompt hash.

How much does it cost?

$0.092 per million input tokens and $0.127 per million output tokens, margin already included.

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