Use cases
Choosing an AI API for customer support
Support assistants answer the same kinds of questions thousands of times, grounded in your help docs. Cost per ticket and consistent tone matter more than raw intelligence.
What customer support needs
- Answers grounded in your own documentation
- A consistent, polite tone
- A clear hand-off to a human
Models that fit
| Model | Maker | List price (in / out per 1M) | Through Somnus | Why |
|---|---|---|---|---|
| Claude Haiku 4.5 | Anthropic | $1 / $5 | $0.5 / $2.5 | cheap, steady tone |
| GPT-5.6 Luna | OpenAI | $1 / $6 | $0.5 / $3 | low-cost alternative |
| Claude Sonnet 5 | Anthropic | $2 / $10 | $1 / $5 | complex or sensitive tickets |
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 Claude Haiku 4.5 cost about $3.50 at list price — roughly $1.75 with Somnus credit.
Tips
- Put your policies in the system prompt and relevant articles in the user message.
- Ask the model to say when it doesn't know rather than guess.
- Log conversations so you can improve the prompt over time.
Common mistakes
- Letting the model invent refund or policy terms.
- Stuffing every help article into every request.
Example
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": "system", "content": "You are an expert assistant. Be precise and concise."},
{"role": "user", "content": "A customer asks how to reset their password. Answer using our help article."}
],
)
print(resp.choices[0].message.content)Questions
What is the cheapest model for customer support?
Of the models suggested here, Claude Haiku 4.5 has the lowest list price ($1 / $5 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.
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