Compare MiniMax M3.1 Flash from Minimax and Qwen3.8 Flash 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 FlashMiniMax-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.
Qwen3.8 Flash is Alibaba Cloud Qwen’s flagship native vision-language model for coding, office tasks, long-context reasoning, and agent workflows. It supports a 1M-token context, 128K output, web access, and tool calling. Compared with Qwen3.7-Plus, Qwen3.8-Flash significantly reduces training and inference costs—the training overhead is only about one-ninth of the former—while offering stronger capabilities on coding and office tasks.
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.
Qwen3.8 Flash: $0.38/M output tokens; MiniMax M3.1 Flash: $0.66/M. Use the cost calculator above to estimate your own workload.
MiniMax M3.1 Flash: 4.8s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
MiniMax M3.1 Flash at 63.7 tok/s and Qwen3.8 Flash at 53.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
MiniMax M3.1 Flash accepts text and image input; Qwen3.8 Flash accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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