Intelligence index
Outperforms 53% of compared models
Step 3.7 Flash
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters per token. The model supports a 256K context window and exposes selectable reasoning levels (high/medium/low), letting callers trade off speed, cost, and depth of reasoning.
Designed for coding, agentic workflows, structured outputs, and long-context productivity tasks.
- Input / output price
- $0.2/$1.15per 1M tokens
- Context
- 262K
- Released
- 2026-05-28
Pricing
Artificial Analysis
Explore rankingsCoding index
Outperforms 39% of compared models
Design Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Asciiart
1150Elo
Win rate 44.8%
Website
1195Elo
Win rate 43.9%
UI Component
1174Elo
Win rate 41.9%
Code Categories
1180Elo
Win rate 42%
SVG
1080Elo
Win rate 36.7%
Data Visualization
1174Elo
Win rate 43%
Game Development
1157Elo
Win rate 37.8%
3D
1126Elo
Win rate 39.9%
Related Models
Step 5 Preview
stepfunStep 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in software engineering and professional knowledge work, with particular strength in finance. It is designed for extended tasks that span large codebases and documents, using tools and refining results over multiple steps.
- Context
- 1.0M
- Max output
- 64K
- Released
- 2026-10-08
- Input
- $1/M
- Output
- $2.7/M
- Cache read
- $0.1/M
Step 3.5 Flash
stepfunStep 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token. It is a reasoning model that is incredibly speed efficient even at long contexts.
- Context
- 262K
- Max output
- 65.5K
- Released
- 2026-01-29
- Input
- $0.1/M
- Output
- $0.3/M
- Cache read
- N/A