LLMS • CURATED • UPDATED MAY 29, 2026

StepFun Step 3.7 Flash

StepFun's 198B MoE vision-language model
Price
Freemium
API
Yes
Weights
No

StepFun Step 3.7 Flash is a 198-billion-parameter mixture-of-experts vision-language model released on May 28-29, 2026. It supports text, image, and video understanding with a focus on efficient inference and strong multimodal reasoning.

Step 3.7 Flash offers a competitive Chinese-frontier multimodal model with an MoE architecture that balances capability and inference cost. It is a useful option for vision-language applications and for teams exploring alternatives to US models.

Pricing Freemium
Platforms web, api
API Yes
Open Source No
Modalities LLMs, Multimodal Reasoning
Best For Best for Efficient VLM
Date Added 2026-05-29
  • ✓198B MoE architecture for efficient inference
  • ✓Strong vision-language understanding
  • ✓Competitive cost-to-performance ratio
  • ✓Text, image, and video input support
  • ✓Accessible through StepFun platform
  • ⚠Smaller ecosystem and community than Western models
  • ⚠Documentation may be less extensive for English speakers
  • ⚠Some advanced features limited to specific tiers
  • ⚠Regional availability may vary

Create an account on stepfun.ai or platform.stepfun.ai and select the Step 3.7 Flash model. Upload images or videos alongside your prompts to test vision-language capabilities. The API supports chat completions with multimodal inputs, making it suitable for building assistants and analysis pipelines.

1 Use Flash for high-volume vision-language tasks
2 Compare against StepFun's larger models for critical reasoning
3 Optimize prompts for image and video understanding
4 Monitor API pricing and token usage carefully
5 Test Chinese and English prompts for your use case

Image-Based Customer Support

Build a support bot that understands user-uploaded images.

STEPS:
  1. Collect example support images and questions
  2. Design prompts that reference image regions
  3. Integrate StepFun API into your support flow
  4. Handle multimodal context across turns
  5. Evaluate accuracy on a test set
  6. Deploy with fallback to text-only mode

Video Content Tagging

Automatically tag and describe video clips.

STEPS:
  1. Upload sample videos to the platform
  2. Ask the model to describe scenes and actions
  3. Request structured tags in JSON format
  4. Validate tags against a human-labeled set
  5. Integrate the tagging pipeline into your CMS
Freemium Free tier available

Free tier includes limited features. Paid plans unlock full access, higher usage limits, and commercial usage rights.

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Q

Is StepFun Step 3.7 Flash free?

A

StepFun Step 3.7 Flash offers a free tier with optional paid upgrades.

Q

Does StepFun Step 3.7 Flash have an API?

A

Yes, StepFun Step 3.7 Flash offers an API for programmatic integration.

Q

What is StepFun Step 3.7 Flash best for?

A

StepFun Step 3.7 Flash is best for Efficient VLM. StepFun Step 3. Step 3.7 Flash offers a competitive Chinese-frontier multimodal model with an MoE architecture that balances capability and inference cost. It is a useful option for vision-language applications and for teams exploring alternatives to US models.

Q

What platforms does StepFun Step 3.7 Flash support?

A

StepFun Step 3.7 Flash supports web, api.

Q

Is StepFun Step 3.7 Flash open source?

A

No, StepFun Step 3.7 Flash is not open source.

Q

How do I get started with StepFun Step 3.7 Flash?

A

Create an account on stepfun.ai or platform.stepfun.ai and select the Step 3.7 Flash model. Upload images or videos alongside your prompts to test vision-language capabilities. The API supports chat completions with multimodal inputs, making it suitable for building assistants and analysis pipelines...

Q

How do I use StepFun Step 3.7 Flash?

A

StepFun Step 3.7 Flash is a large language model for text generation, analysis, and conversation. Access through the web interface. Enter prompts or questions to get responses. It excels at 198b moe architecture for efficient inference.

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