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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.

Step 3.7 Flash आज़माएं Plans देखें
790,000+ उपयोगकर्ताओं का भरोसा

262.144K tokens

कॉन्टेक्स्ट

131,072 tokens

अधिकतम आउटपुट

तेज़

गति

आप इसे किस काम के लिए इस्तेमाल करेंगे

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.

Step 3.7 Flash के बारे में

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.

Step 3.7 Flash का उपयोग कैसे करें

शून्य से पहले नतीजे तक, एक मिनट से भी कम में।

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

बेहतर नतीजों के लिए टिप्स

  • 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 बनाम alternatives

ईमानदार तुलना — जहाँ {model} जीतता है, और जहाँ नहीं।

Qwen 3.8 Flash से तुलना

Model देखें

+Larger context and selectable reasoning levels

–Qwen 3.8 Flash is cheaper still

GLM 4.7 से तुलना

Model देखें

+Cheaper per token at a similar everyday coding job

–GLM 4.7 has the wider GLM ecosystem behind it

Kimi K2.7 Code से तुलना

Model देखें

+Much faster and cheaper for routine work

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

अक्सर पूछे जाने वाले सवाल

Chat से आगे — images और video

हर NinjaChat plan में 50+ models, एक पूरा image studio, और वीडियो जनरेशन शामिल है।

A real FLUX Pro Ultra outputA real Google Imagen 4 outputA real Seedream output
सभी मॉडल देखें →

Step 3.7 Flash, और 50 अन्य।

एक ही सब्सक्रिप्शन में NinjaChat के सभी मॉडल शामिल हैं, Step 3.7 Flash भी।

शुरू करेंPlans compare करें
Download on the App Store

और models explore करें

Qwen 3.8 Flash

Alibaba का नवीनतम मल्टीमॉडल रीज़निंग मॉडल, तेज़ और किफ़ायती

→

GLM 4.7

कोडिंग, रीज़निंग और सामान्य कामों के लिए Zhipu का दक्ष मॉडल

→

Kimi K2.7 Code

Moonshot's coding specialist for long agent runs

→
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