Compare Qwen3 VL 30B A3B Instruct from Qwen 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.
Qwen3 VL 30B A3B Instruct
Step 3.7 FlashThe Qwen3-VL series’ second-largest MoE model Instruct version offers fast response speed and supports ultra-long contexts such as long videos and long documents; it features comprehensive upgrades in image/video understanding, spatial perception, and universal recognition abilities; it also provides visual 2DD/3D localization capabilities, making it capable of handling complex real-world 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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Qwen3 VL 30B A3B Instruct: $0.4112/M output tokens; Step 3.7 Flash: $1.32/M. Use the cost calculator above to estimate your own workload.
Qwen3 VL 30B A3B Instruct: 1.1s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Qwen3 VL 30B A3B Instruct accepts 131,072 and Step 3.7 Flash accepts 256,000 input tokens.
Qwen3 VL 30B A3B Instruct at 41.7 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.
Qwen3 VL 30B A3B Instruct accepts text, image and video input and supports tool calling, function calling and structured outputs; Step 3.7 Flash accepts text, image and video input.
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