Compare MiniMax M3.1 Flash from Minimax and Qwen3.8 Max Preview from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
MiniMax M3.1 Flash
Qwen3.8 Max PreviewMiniMax-M3.1-Flash is MiniMax's latest flagship model, aimed at office automation, software engineering, visual reasoning, and professional analytics. It combines multi-step task execution with front-end and presentation-creation capabilities, supporting workflows that transform information and visual references into tangible deliverables.
Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.
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.
MiniMax M3.1 Flash: $0.66/M output tokens; Qwen3.8 Max Preview: $1.014/M. Use the cost calculator above to estimate your own workload.
MiniMax M3.1 Flash accepts text and image input; Qwen3.8 Max Preview accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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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