MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
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MiniMax: MiniMax M1 holds the #72 spot for context size out of 392 chat models in the CoreAI catalog — 1M tokens, roughly 750,000 words or 1,500 pages of text in a single conversation. On price, it is the #69 cheapest of 183 standard-tier models by input cost. It joined the catalog on 2025-06-17. It supports step-by-step reasoning (thinking mode).
Every model in this table is available on CoreAI — open the web app and run the same prompt through MiniMax: MiniMax M1 and MiniMax: MiniMax M3 side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00165 on MiniMax: MiniMax M1's raw per-token rates; a heavy session with a 50K-token document costs about $0.039. On CoreAI you don't juggle these numbers — one subscription covers MiniMax: MiniMax M1 and 300+ other models under a plan usage limit, with no API keys. See plans.
MiniMax: MiniMax M1 handles 1M tokens of context — roughly 750,000 words, or about 1,500 pages of text in one conversation.
MiniMax: MiniMax M1's underlying rates are $0.55 per 1M input tokens and $2.2 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
No — MiniMax: MiniMax M1 is text-only. If you need image understanding, its standard-tier peers with vision are listed in the comparison table above.
Yes. MiniMax: MiniMax M1 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 M1 in the model selector, and chat — no API key, no per-token billing. One subscription covers MiniMax: MiniMax M1 and 300+ other models.
The closest alternatives on CoreAI are MiniMax: MiniMax M3, Qwen: Qwen3.8 2.4T A95B, inclusionAI: Ling-2.6-flash — 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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