Step 3.7 Flash

1.70
The high-performance Flash model launched by StepFun for AI agents and developers features native visual understanding, multimodal reasoning, tool calling, and code generation capabilities...
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CompanyStepfun
Context256K
Released2026-05
Updated2026-07-23

Step 3.7 Flash Overview

StepFun Step 3.7 Flash is a next-generation lightweight large language model developed by StepFun, designed to deliver an optimal balance between speed, reasoning capability, and cost efficiency. It is built for real-time AI applications, providing developers and enterprises with fast, reliable, and economical model performance.
The model leverages advanced architecture optimization techniques to achieve low-latency responses while improving language understanding, logical reasoning, multi-turn conversations, code generation, and complex task execution. Step 3.7 Flash supports long-context processing and is optimized for API integration and large-scale commercial deployments.
Its core value lies in delivering high-performance AI intelligence with improved efficiency, enabling businesses and developers to build AI-powered applications at a lower operational cost. Step 3.7 Flash is widely used in AI agents, intelligent assistants, customer service automation, knowledge management, content generation, and software development workflows.

Step 3.7 Flash Pricing

PlanPriceDescription
API StepFun Direct Access Input $0.20 / Output $1.15 per 1M Tokens Supports a 256K context window, powered by an approximately 198B MoE architecture with 11B active parameters. Supports text and image understanding. Cache hit pricing is $0.04 per 1M Tokens.
Image / Video Input $1.00 per 1M Tokens Additional charges apply for multimodal inputs such as images and videos.

Step 3.7 Flash Key Features

Multimodal Understanding: Supports text, images, documents, screenshots, and other content analysis.
AI Agent Capabilities: Enables tool calling, task planning, and complex workflow execution.
Code Generation & Development Assistance: Helps with programming, debugging, code analysis, and software development tasks.
Long Context Processing: Handles large-scale information analysis and complex tasks.
Fast Inference Performance: Optimized for low latency and production-level AI applications.

Summary

①AI Agent developers
②Software engineers
③Enterprise automation teams
④Product managers and technical teams
⑤Individual users who want AI-powered productivity tools

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