step-3.7-flashStepFun
- endpoints
- 1
- regions
- 1
- api
- chat
- released
- May 2026
capabilities 5/8
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 | Global | 262K | $0.20 | $1.15 | $0.04 | zdr |
no measured traffic for this model yet. the endpoints table above carries provider pricing
no published benchmark scores for this model
step-3.7-flashrequesty routes this id across every provider serving step-3.7-flash, picking on price and health and failing over automatically. the id stays valid when a provider changes underneath it
Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="step-3.7-flash", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models
Step 3.7 Flash is a fast reasoning model from StepFun with a 256K context window, supporting function calling and structured output for high volume agentic workloads.
questions 6
Which providers serve step-3.7-flash?
How much does step-3.7-flash cost?
Is step-3.7-flash open weights?
What is the context window of step-3.7-flash?
How do I use step-3.7-flash with the OpenAI SDK?
Should I call step-3.7-flash by its managed id or a provider id?
more from stepfun 1
| model | context | from /M | providers |
|---|---|---|---|
| step-5-preview | 1.0M | $1.00 | 1 |
route step-3.7-flash through one endpoint
One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology
