Compare ERNIE Image Turbo from Baidu and Step 3.7 Flash from StepFun on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
ERNIE Image Turbo
Step 3.7 FlashBaidu's self-developed ERNIE iRAG Edit image editing model supports operations based on images such as erase (object removal), repaint (object redrawing), and variation (variant generation).
step-3.7-flash is stepfun's flagship inference model, designed for high-complexity tasks that require deep reasoning and fast execution. It excels at decomposing multi-step problems, performing tool calls, and maintaining consistency across massive datasets. It is the preferred choice for complex workloads such as long-context agents, advanced software engineering, and end-to-end research automation.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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ERNIE Image Turbo accepts text and image input and supports tool calling, function calling and structured outputs; Step 3.7 Flash accepts text, image and video input.
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