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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.

Coba Step 3.7 Flash Lihat paket
Dipercaya 790,000+ pengguna

262.144K tokens

Konteks

131,072 tokens

Output maks

Cepat

Kecepatan

Untuk apa Anda akan menggunakannya

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.

Tentang 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.

Cara menggunakan Step 3.7 Flash

Dari nol ke hasil pertama Anda dalam waktu kurang dari satu menit.

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 untuk hasil yang lebih baik

  • 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 alternatif lainnya

Perbandingan jujur — di mana {model} unggul, dan di mana tidak.

vs Qwen 3.8 Flash

Lihat model

+Larger context and selectable reasoning levels

–Qwen 3.8 Flash is cheaper still

vs GLM 4.7

Lihat model

+Cheaper per token at a similar everyday coding job

–GLM 4.7 has the wider GLM ecosystem behind it

vs Kimi K2.7 Code

Lihat model

+Much faster and cheaper for routine work

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

Pertanyaan yang sering diajukan

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Step 3.7 Flash, dan 50 lainnya.

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Model lain untuk dijelajahi

Qwen 3.8 Flash

Model penalaran multimodal terbaru dari Alibaba, cepat dan murah

→

GLM 4.7

Model efisien dari Zhipu untuk coding, penalaran, dan tugas umum

→

Kimi K2.7 Code

Moonshot's coding specialist for long agent runs

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