Compare GPT 5.6 Sol from OpenAI 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.
GPT 5.6 Sol
Step 3.7 FlashGPT-5.6 Sol is OpenAI's flagship multimodal model, designed for complex reasoning, coding, and agentic workflows. It supports text and image inputs with an extensive context window of 1,050,000 tokens. Featuring thinking, tool use, and structured outputs capabilities, it is particularly strong at command-line and multi-step coding tasks.
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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Step 3.7 Flash: $1.32/M output tokens; GPT 5.6 Sol: $30/M. Use the cost calculator above to estimate your own workload.
GPT 5.6 Sol accepts 1,050,000 and Step 3.7 Flash accepts 256,000 input tokens.
GPT 5.6 Sol accepts text and image input and supports tool calling, thinking and structured outputs; Step 3.7 Flash accepts text, image and video input.
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