Step 3.7 Flash — AI Model Review & Pricing
StepFun's high-efficiency multimodal MoE model. 196B total parameters with 11B active, supporting text, image, and video inputs. Open-source weights available on HuggingFace.
Specifications
| Attribute | Value |
|---|---|
| Lab | StepFun |
| Tags | Intelligent Fast |
| Release Date | 2026-05 |
| Context Window | 256,000 tokens |
| Input Price / 1M | $0.20 |
| Output Price / 1M | $1.15 |
| Input Modalities | Text |
| Output Modalities | Text |
Strengths
- Very low pricing ($0.20/M input, $1.15/M output)
- Multimodal: native image and video understanding
- 256K context window
- Open-source with HuggingFace weights
- MoE architecture for efficient inference
Weaknesses
- Only 11B active parameters limits reasoning depth
- Less proven than established frontier models
- Chinese lab potential data sovereignty concerns
Best For
- Budget multimodal tasks (image/video analysis)
- High-throughput applications where cost matters
- Developers needing open-source multimodal models
In Depth: Step 3.7 Flash
Summary
Step 3.7 Flash is an AI model from StepFun ranked #98 of 125 on the LMRank leaderboard.
Released 2026-05. It currently appears in the Overall category on LMRank. It supports Text input and produces Text output, with a context window of 256,000 tokens. Input pricing is $0.20 per 1M tokens and output is $1.15 per 1M tokens on OpenRouter.