Compare ERNIE 4.5 Turbo VL 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 4.5 Turbo VL
Step 3.7 FlashThe new version of the Wenxin Yiyan large model significantly improves capabilities in image understanding, creation, translation, and coding. It supports a context length of up to 32K tokens for the first time, with a notable reduction in the latency of the first token.
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 4.5 Turbo VL: $1.2/M output tokens; Step 3.7 Flash: $1.32/M. Use the cost calculator above to estimate your own workload.
ERNIE 4.5 Turbo VL 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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