MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
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Among the 412 chat models on CoreAI, MiniMax: MiniMax M3 ranks #145 by context window — 524K tokens, roughly 393,216 words or 786 pages of text in a single conversation. On price, it is the #33 cheapest of 198 standard-tier models by input cost. It joined the catalog on 2026-05-31. It supports step-by-step reasoning (thinking mode) and accepts image input.
Every model in this table is available on CoreAI — open the web app and run the same prompt through MiniMax: MiniMax M3 and MiniMax: MiniMax M3 (batch) side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00090 on MiniMax: MiniMax M3's raw per-token rates; a heavy session with a 50K-token document costs about $0.021. On CoreAI you don't juggle these numbers — one subscription covers MiniMax: MiniMax M3 and 300+ other models under a plan usage limit, with no API keys. See plans.
MiniMax: MiniMax M3 handles 524K tokens of context — roughly 393,216 words, or about 786 pages of text in one conversation.
MiniMax: MiniMax M3's underlying rates are $0.3 per 1M input tokens and $1.2 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
Yes — MiniMax: MiniMax M3 accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.
Yes. MiniMax: MiniMax M3 can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick MiniMax: MiniMax M3 in the model selector, and chat — no API key, no per-token billing. One subscription covers MiniMax: MiniMax M3 and 300+ other models.
The closest alternatives on CoreAI are MiniMax: MiniMax M3 (batch), Thinking Machines: Inkling Small, Mistral: Mistral Nemo — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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