Use cases

Choosing an AI API for content generation

Writing drafts, product descriptions and emails is output-heavy. Style quality and output price both matter.

What content generation needs

  • Natural, on-brand writing
  • Reasonable output price
  • Control over length and format

Models that fit

ModelMakerList price (in / out per 1M)Through SomnusWhy
Claude Sonnet 5Anthropic$2 / $10$1 / $5natural long-form writing
GPT-5.6 LunaOpenAI$1 / $6$0.5 / $3cheap short copy
Kimi K3Moonshot$3 / $15$1.5 / $7.5alternative voice for drafts

Somnus column uses the minimum 2× credit; larger top-ups go further.

Cost example

1,000 requests of about 1,500 input and 400 output tokens on GPT-5.6 Luna cost about $3.90 at list price — roughly $1.95 with Somnus credit.

Tips

  • Give two or three examples of your house style.
  • Ask for an outline first, then expand the parts you keep.
  • Set a max token limit per piece.

Common mistakes

  • Generating full drafts you then discard — outline first.
  • Publishing without a human fact-check.

Example

python
from openai import OpenAI
import os

client = OpenAI(
    api_key=os.environ["SOMNUS_API_KEY"],
    base_url="https://gateway-production-c837.up.railway.app/v1",
)

resp = client.chat.completions.create(
    model="claude-sonnet-5",
    messages=[
      {"role": "user", "content": "Write a 100-word product description for a reusable water bottle."}
    ],
)
print(resp.choices[0].message.content)

Questions

What is the cheapest model for content generation?

Of the models suggested here, GPT-5.6 Luna has the lowest list price ($1 / $6 per 1M tokens). Test it on your own examples before committing.

Can I switch models later?

Yes. With Somnus you change the model name; the rest of the code stays the same.

Run this code with free credit

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