step-3.7-flash

by StepFun

step-3.7-flash is stepfun's flagship inference model, designed for high-complexity tasks that require deep reasoning and fast execution. It excels at decomposing multi-step problems, performing tool calls, and maintaining consistency across massive datasets. It is the preferred choice for complex workloads such as long-context agents, advanced software engineering, and end-to-end research automation.

API Pricing

Input$0.22 / 1M tokens
Output$1.32 / 1M tokens
Cache read$0.04 / 1M tokens

Specifications

Context window256,000 tokens
Modalitiestext, image

FAQ

What is step-3.7-flash?

step-3.7-flash is stepfun's flagship inference model, designed for high-complexity tasks that require deep reasoning and fast execution. It excels at decomposing multi-step problems, performing tool calls, and maintaining consistency across massive datasets. It is the preferred choice for complex workloads such as long-context agents, advanced software engineering, and end-to-end research automation.

What is the context length of step-3.7-flash?

step-3.7-flash has a 256,000 token context window.

How much does step-3.7-flash cost?

On AIHubMix, step-3.7-flash costs $0.22 per million input tokens and $1.32 per million output tokens. Cached input reads are billed at $0.04 per million tokens.

What modalities does step-3.7-flash support?

step-3.7-flash accepts text and image input.

How do I call step-3.7-flash via API?

step-3.7-flash is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to step-3.7-flash — no other code changes needed.

Who develops step-3.7-flash?

step-3.7-flash is developed by StepFun. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

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Use step-3.7-flash via the AIHubMix unified API — one interface for every major LLM.