Compare ERNIE X1.1 Preview 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 X1.1 Preview
Step 3.7 FlashThe Wenxin large model X1.1 has made significant improvements in question answering, tool invocation, intelligent agents, instruction following, logical reasoning, mathematics, and coding tasks, with notable enhancements in factual accuracy. The context length has been extended to 64K tokens, supporting longer inputs and dialogue history, which improves the coherence of long-chain reasoning while maintaining response speed.
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 X1.1 Preview: $0.544/M output tokens; Step 3.7 Flash: $1.32/M. Use the cost calculator above to estimate your own workload.
ERNIE X1.1 Preview 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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