Compare GPT 4o Mini 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 4o Mini
Step 3.7 FlashThe lightweight version of GPT-4o, which is affordable and fast, suitable for handling simple tasks; our site supports the official automatic caching for this model, and charges for cache hits will be automatically halved.
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.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
GPT 4o Mini: $0.6/M output tokens; Step 3.7 Flash: $1.32/M. Use the cost calculator above to estimate your own workload.
GPT 4o Mini: 0.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
GPT 4o Mini accepts 128,000 and Step 3.7 Flash accepts 256,000 input tokens.
GPT 4o Mini at 52.2 tok/s and Step 3.7 Flash at 32.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GPT 4o Mini accepts text and image input; Step 3.7 Flash accepts text, image and video input.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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