Compare ERNIE X1 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 X1 Turbo
Step 3.7 FlashWenxin Large Model X1 possesses enhanced abilities in understanding, planning, reflection, and evolution. As a more comprehensive deep-thinking model, Wenxin X1 combines accuracy, creativity, and literary elegance, excelling particularly in Chinese knowledge Q&A, literary creation, document writing, daily conversations, logical reasoning, complex calculations, and tool invocation.
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 X1 Turbo: $0.544/M output tokens; Step 3.7 Flash: $1.32/M. Use the cost calculator above to estimate your own workload.
ERNIE X1 Turbo accepts text input and supports thinking, tool calling, function calling and structured outputs; Step 3.7 Flash accepts text, image and video input.
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