Step-5-Preview is now open weight, bringing a 1M-token context window to real-world agentic work. Its 600B sparse MoE architecture activates 27B parameters per token.
🤖 https://modelscope.ai/models/stepfun-ai/Step-5-Preview
🏆 Strong open-model coding: Scores 49.0% on StepCodeBench, leading the open-weight models in the reported comparison across code generation, bug fixing, refactoring, and performance tuning.
📈 Built for professional work: Delivers strong results across software engineering, finance, and knowledge tasks, including 66.4 on FrontierFinance.
🧰 From research to deliverables: Coordinates large-scale web research, analyzes complex datasets, and produces finished reports, spreadsheets, websites, and other working artifacts.
🧠 Long-horizon agents: Supports a 1M-token context window, visual input, and workflows extending across thousands of interactions.
📜 Released under the StepFun Community License.