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Model details

MiniMax M3 (Tencent Cloud)

MiniMax M3 is positioned within Tencent Cloud's techpedia documentation as the foundation for building a multimodal chatbot, signaling that Tencent Cloud offers the model as a deployable service aimed at developers who need a single API surface for diverse input types. The model's name appears explicitly in a Tencent Cloud tutorial titled "How to Build a Multimodal Chatbot with MiniMax M3," published in August 2026, which treats M3 as the underlying intelligence layer for conversational applications that combine text, image, and video understanding. This framing suggests Tencent Cloud is marketing M3 toward practical, customer-facing assistant use cases rather than purely research workloads.

Because the available Tencent Cloud source page primarily functions as a build tutorial with cookie and navigation boilerplate rather than a model card, the overview relies on what the tutorial confirms: M3 is presented as a multimodal-capable model suitable for chatbot architectures, with the surrounding Tencent Cloud ecosystem providing the integration path. Developers reading the documentation can therefore infer that M3 is intended for production conversational stacks where multimodal inputs feed into text generation, consistent with a chat-style deployment pattern. No benchmark, architecture, or training-scale details could be verified from the supplied excerpt.

LLM Gatewaytencent/minimax-m3minimax

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Provider
LLM Gateway
Model key
tencent/minimax-m3
Release date
Jun 1, 2026
Last updated
Jun 1, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.30
Output token cost
$1.20

Limits

Output tokens
131,072 tokens
Context window
1,000,000 tokens

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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