MiniMax

MiniMax: 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.

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Output:

Input:

$0.02-0.04/image

Output:

$0.04-0.13/second

Context length:

13K

Max output:

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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'.

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Output:

Input:

—

Output:

$0.05-0.08/second

Context length:

13K

Max output:

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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, 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.

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Output:

Input:

$0.6$0.39/1M

Output:

$2.4$1.56/1M

Context length:

1M

Max output:

512K

MiniMax: 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.

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Output:

Input:

$0.15$0.0975/1M

Output:

$0.6$0.39/1M

Context length:

1M

Max output:

512K