Amux AI

MiniMax: MiniMax H3 Max

Active

MiniMax: MiniMax H3 Max is a video generation model jointly released by MiniMax and fal.ai. The model was further trained by fal.ai based on MiniMax H3 and optimized for high-speed generation. It supports mainstream 480P and 768P output, generating videos faster than MiniMax H3. Currently, it supports 'text-to-video' and 'image-to-video', and will later support 'reference image generation'.

By:
MiniMax
Input:
Output:
Context length:
13K
Published:
2026-09-02
vision

Providers

Same model, different providers. Automatic routing spreads requests across healthy providers by default, or ranks them by price, latency and more.

Provider
minimax—
480P$0.05/second768P$0.08/second
Read—Write—
13K———

Availability

24 hours · 09/23–09/28

Success rate of requests sent by the Amux AI gateway to each provider. Client errors are excluded.

Activity

24 hours · 09/23–09/28

Relative request activity over time, broken down by serving provider. Indexed to the peak within the selected range (= 100); reflects trends and provider share, not absolute volume.

Related models

More models from MiniMax

MiniMax: MiniMax H313K context2 providersMiniMax: MiniMax H3 is a lightweight open source weighted video generation model developed by MiniMax. It is designed for precise multimodal editing and controlled content generation, including command-driven editing, text and brand rendering, and video-to-video motion transfer. The model is suitable for commercial creative workflows such as advertising, e-commerce, games and interface design, and supports native audiovisual output for reference-driven generation.
MiniMax: MiniMax M3.1-Flash1M contextfrom $0.0975 / M tokens1 providerMiniMax: MiniMax M3.1-Flash is a cutting-edge multi-modal language model with a 1 million token context window designed for agent reasoning, tool invocation, programming and long text tasks. It supports text, image, and video input, and provides adjustable thinking depth (controlled by effort) to balance inference quality, latency, and token usage.
MiniMax: MiniMax M31M contextfrom $0.39 / M tokens2 providersMiniMax-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, and tool use. It is built on MiniMax Sparse Attention (MSA), which replaces full attention with KV-block selection to cut per-token compute at long context — roughly 1/20 the cost of the previous generation at 1M tokens, with substantially faster prefill and decode while retaining quality across most tasks.