Introducing Step 3.7 Flash: multimodal reasoning at scale

StepFun's Step 3.7 Flash is a cutting-edge, 198-billion-parameter sparse MoE vision-language model now available in the Baseten Model Library, optimized for lower cost and smoother autoscaling. This flagship multimodal reasoning model features an efficient architecture with only 11 billion parameters activated per token, native image and video input, a 256k token context window, and flexible reasoning capabilities. These features enable creative applications such as transforming whiteboard photos into actionable plans and converting receipts into spreadsheets. The model's FP8 quantization reduces memory requirements, allowing deployment on 4×H100s, making it cheaper and easier to deploy compared to larger configurations. Its Mixture-of-Experts architecture, hybrid attention, and speculative decoding ensure efficient handling of production workloads, offering a robust tool for teams to process diverse inputs effectively.

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