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
| Model | Maker | List price (in / out per 1M) | Through Somnus | Why |
|---|---|---|---|---|
| Claude Sonnet 5 | Anthropic | $2 / $10 | $1 / $5 | natural long-form writing |
| GPT-5.6 Luna | OpenAI | $1 / $6 | $0.5 / $3 | cheap short copy |
| Kimi K3 | Moonshot | $3 / $15 | $1.5 / $7.5 | alternative 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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