Compare MiniMax M3 from Minimax and MiniMax M3.1 Flash from Minimax on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
MiniMax M3MiniMax M3.1 FlashThe MiniMax M3 is a flagship programming model built for real-world productivity. As a production-grade model natively designed for Agent scenarios, it has achieved state-of-the-art (SOTA) performance in coding, agentic tool use, search, and office work.
MiniMax-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.
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; MiniMax M3: $1.152/M. Use the cost calculator above to estimate your own workload.
MiniMax M3: 0.6s 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 94.8 tok/s and MiniMax M3 at 85.8 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
MiniMax M3 accepts text, image and video input and supports thinking, tool calling, function calling and structured outputs; MiniMax M3.1 Flash accepts text and image 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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