StepFun

Chat with Step 3.7 Flash online

StepFun's efficiency model — Apache 2.0, fast enough to call in a loop and capable enough to trust.

Trusted by 790,000+ users

262.144K tokens

Context

131,072 tokens

Max output

Fast

Speed

What you’ll use it for

High-volume agents

Loops where latency and price compound quickly.

Everyday coding

Fast answers on real code without the frontier price.

Search workflows

Reading and filtering a lot of material quickly.

Structured output

Clean JSON when the answer feeds a pipeline.

Prompts to steal

Tuned to this model — click any line to copy.

About Step 3.7 Flash

Step 3.7 Flash is StepFun's efficiency model, released on 28 May 2026 under an Apache 2.0 licence. It is a sparse mixture-of-experts design of about 198 billion parameters that activates only around 11 billion per token, which is the whole point: it answers quickly and costs little, while staying capable enough for real work.

StepFun built it for coding agents and search-style workflows — the kind of job where a model is called many times in a loop and both latency and price compound. Throughput runs to several hundred tokens a second on a good rail, and the model exposes selectable reasoning levels so a caller can trade depth against speed per request rather than being locked into one setting. It takes tools and tool_choice for function calling and supports a JSON response format when the output feeds a pipeline.

The value claim is the interesting part. On SWE-Bench Verified with its advisor mode enabled, StepFun reports Step 3.7 Flash reaching around 97% of a frontier model's coding score at roughly a ninth of the per-task cost. Treat any single benchmark carefully, but the shape of the claim matches what the architecture is for.

The context window is 262,144 tokens, so a substantial codebase or a long document set fits in one conversation. On NinjaChat it is included in every plan — a good default when you want a capable model to answer fast and often.

How to use Step 3.7 Flash

From zero to your first result in under a minute.

01

Create a NinjaChat account and choose a plan

02

Open chat and pick Step 3.7 Flash from the model list

03

Use it as your default for fast, frequent questions

04

Escalate to a frontier model when a task gets hard

Tips for better results

  • Great as the first pass before a bigger model
  • Ask for JSON when the answer feeds something else
  • Its context is large; paste the whole file
  • Pair it with a frontier model rather than replacing one

Step 3.7 Flash vs the alternatives

Where it wins, and where it doesn't.

vs Qwen 3.8 Flash

View

Larger context and selectable reasoning levels

Qwen 3.8 Flash is cheaper still

vs GLM 4.7

View

Cheaper per token at a similar everyday coding job

GLM 4.7 has the wider GLM ecosystem behind it

vs Kimi K2.7 Code

View

Much faster and cheaper for routine work

Kimi K2.7 Code is far stronger on long agent runs

Questions, answered.

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