step-3.7-flash
StepFun/Open weights/1 provider
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.MoreLess
Which id to call
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.
From /1M input
$0.20
Novita AI
Context
262K
256K output
Endpoints
1
1 region
Regions
1
chat
Capabilities 5/8
1 endpoint / 1 region
Providers serving step-3.7-flash
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
| Rank | Privacy | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  Novita AI | Global | 262K | $0.20 | $1.15 | $0.04 | zdr |
A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
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.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
123456789101112131415from 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)
Artificial Analysis
Benchmark scores
Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.
Graduate-level physics, chemistry & biology questions designed to resist Googling.
Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.
Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.
Reference
step-3.7-flash questions
Which providers serve step-3.7-flash?
step-3.7-flash is available from 1 provider through Requesty: Novita AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does step-3.7-flash cost?
Pricing starts at $0.20 per million input tokens and $1.15 per million output tokens on Novita AI, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
Is step-3.7-flash open weights?
Yes. step-3.7-flash is an open-weights model from StepFun, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.
What is the context window of step-3.7-flash?
step-3.7-flash supports up to 262K tokens of context, with up to 256K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use step-3.7-flash with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "step-3.7-flash" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Should I call step-3.7-flash by its managed id or a provider id?
Use the managed id, "step-3.7-flash". Requesty picks which of the 1 provider serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. Send a provider id like "novita/stepfun/step-3.7-flash" only when you need one specific deployment and want no failover.
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.