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Step 3.7 Flash

Step 3.7 Flash by StepFun, through an OpenAI-compatible chat completions API.

step-3.7-flashGet API key

Pricing USD per million tokens

TokensPer 1M tokens
Input$0.1928
Cached input$0.1928
Cache write (5 min)$0.1928
Cache write (1 hour)$0.1928
Output$1.1568

Reasoning tokens are billed as output. Each answer's usage carries cost_usd, the amount taken from your balance; a request with no answer costs $0.00.

Request

curl
curl https://api.revana.si/v1/chat/completions \
  -H "Authorization: Bearer $REVANA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"step-3.7-flash","messages":[{"role":"user","content":"Write a haiku about routing."}]}'
Python
import os
from openai import OpenAI

client = OpenAI(base_url="https://api.revana.si/v1", api_key=os.environ["REVANA_API_KEY"])
reply = client.chat.completions.create(
    model="step-3.7-flash",
    messages=[{"role": "user", "content": "Write a haiku about routing."}],
)
print(reply.choices[0].message.content)

Any OpenAI SDK works: set the base URL to https://api.revana.si/v1. Streaming, tools and the rest are in the chat completions docs.

Details

Model id
step-3.7-flash
Maker
StepFun
Endpoint
POST /v1/chat/completions
Streaming
Yes (server-sent events)
Routes
1

1 route

One route today. A request that gets no answer is not charged.

About the Step 3.7 Flash API

How much does the Step 3.7 Flash API cost?

Step 3.7 Flash costs $0.1928 per million input tokens, $0.1928 per million cached input tokens and $1.1568 per million output tokens on Revana. You pay from prepaid credit for the tokens each request used, with no subscription or minimum.

How do I call Step 3.7 Flash from code?

Use any OpenAI SDK with base URL https://api.revana.si/v1 and your Revana API key, and set model to "step-3.7-flash". POST /v1/chat/completions takes the OpenAI request body, streamed or not.

What happens if a request fails?

A request that gets no answer costs nothing.

Is Step 3.7 Flash on Revana the same model?

Yes. Revana passes your request to StepFun's model unchanged and returns its answer in the OpenAI format, with the usage it reported and what the request cost.

Also as markdown for agents. Every language model and price: llms.json.