The Step-3.7-Flash NIM is a Downloadable NIM container for deploying Step-3.7-Flash, a StepFun vision-language model built on Step 3.5 Flash with additional vision capability for native multimodal, agentic, and coding-related use cases.
Step 3.7 Flash
Description:
The Step 3.7 Flash NIM is a Downloadable NIM container for deploying Step 3.7 Flash, a StepFun vision-language model built on Step 3.5 Flash with additional vision capability for native multimodal, agentic, and coding-related use cases. The model is intended to process text and image inputs and produce text outputs, with emphasis on image understanding, fast throughput, and tool-use workflows.
The container components are ready for commercial use.
Third-Party Community Consideration
The model embedded in the container is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA Step 3.7 Flash Model Card.
License/Terms of Use:
GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products; and the use of the model is governed by the NVIDIA Open Model License Agreement.
Additional Information: Apache-2.0.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
NGC 05/28/2026 via Step 3.7 Flash NIM container link
Program Classes:
The Step 3.7 Flash NIM Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Step 3.7 Flash | Multimodal reasoning, long-context text understanding, image understanding, coding-related assistance, visual-language conversation, and agentic workflows that combine perception, search, and reasoning. | Automatic (embedded in container) |
Deployment Details:
This Downloadable NIM provides an OpenAI-compatible inference service for Step 3.7 Flash.
API Endpoints:
/v1/chat/completions- Chat completions/v1/models- List available models/health/ready- Health check
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
Reference(s):
Ethical Considerations:
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.
Please make sure you have proper rights and permissions for all input image and video content; if image or video includes people, personal health information, or intellectual property, the image or video generated will not blur or maintain proportions of image subjects included.
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.
Get Help
Getting started with the NIM
Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM Container page for release documentation, deployment guides and more.
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