Parameter count sets the floor
Weights alone need roughly 2 bytes per parameter at FP16/BF16 precision, or about 1 byte per parameter at INT8. A 10B-parameter model is roughly 20GB at FP16 or 10GB at INT8, before anything else is loaded.
MiniMax H3 requirements covers VRAM, GPU, Mac, AMD, INT8, and model size questions people ask before attempting a local setup. This site accesses MiniMax H3 as a hosted API rather than a local checkpoint, so it has no MiniMax-specific hardware figures to publish. This page instead explains the real math and platform realities behind each term, so you can evaluate any number you find elsewhere.
People searching MiniMax H3 requirements are usually planning a local setup and want to know what hardware and software it would take.
System requirements for any video-generation model cover the operating system, GPU, VRAM, RAM, storage, and driver or framework versions needed to load and run it, and those figures come only from whoever builds and publishes the specific implementation.
This site does not maintain a local build of MiniMax H3; it reaches the model as a hosted API through its own online generator. Rather than repeat that once and stop, the rest of this page explains the underlying math and platform trade-offs, so a number you do find elsewhere from an official source is something you can sanity-check yourself.
This is the general estimation method used across the field for models like this, not a MiniMax H3-specific number.
Weights alone need roughly 2 bytes per parameter at FP16/BF16 precision, or about 1 byte per parameter at INT8. A 10B-parameter model is roughly 20GB at FP16 or 10GB at INT8, before anything else is loaded.
Unlike a single still image, a video model holds activations across every frame in the generated clip at once. Longer durations and higher resolutions increase that working-memory footprint well beyond what the weight size alone suggests.
Framework overhead, the sampling or diffusion process itself, and a safety margin to avoid out-of-memory errors typically add another 10 to 30 percent on top of the weights-plus-activations estimate.
This math gives you a way to sanity-check a claimed number, not a substitute for one. This site has not verified MiniMax H3's actual parameter count, so it cannot run this formula to a specific answer.
The online MiniMax H3 generator runs on the provider's infrastructure, so there is no GPU, VRAM, or driver requirement on your side.
VRAM requirements only apply when a model's weights are actually loaded onto a GPU for local inference. This site's generator does not do that; generation runs on the provider's infrastructure, so this site's own workflow has no VRAM requirement to report at all. A separately maintained local build would have a real figure driven by the parameter-count math above, which this site has not seen a verified source for.
In general terms, the video-generation hobbyist and researcher community tends to bucket local GPUs into rough tiers: 8 to 12GB cards for small or heavily quantized models, 16 to 24GB cards (the range most enthusiast GPUs top out at) for mid-sized models at reasonable resolutions, and 40GB-plus datacenter cards for large, unquantized models or longer, higher-resolution clips. Where a specific model falls in that range depends entirely on its real parameter count and precision, which this site has not verified for MiniMax H3.
Apple Silicon uses unified memory: CPU and GPU share one pool, so a 36GB, 64GB, or 128GB Mac has that much theoretically available rather than a fixed separate VRAM block. In practice, Metal/MPS acceleration for diffusion and video models has historically trailed CUDA in both raw throughput and same-day support for new model architectures, so "enough memory" does not automatically mean "fast" or "supported on day one." This site has not verified a local Mac build for MiniMax H3.
AMD's ROCm stack has closed much of the gap with CUDA over the past few years, but most new model releases still target CUDA first, and ROCm support for a given architecture often lands later or needs community patches. Whether MiniMax H3 has any ROCm-compatible path is not something this site has verified.
INT8 quantization maps each weight from a 16- or 32-bit float down to an 8-bit integer, roughly halving memory versus FP16 in exchange for some precision loss, usually mitigated with a calibration pass. Whether MiniMax publishes an INT8 build of H3, and how much quality it trades away, is not verified here.
Model size in GB is a direct function of parameter count and precision: params × bytes-per-parameter. Once you have a verified parameter count from an official source, that formula converts it to a rough download and VRAM-floor size at whichever precision is offered.
INT8 is a quantization format used broadly across the field, not a confirmed MiniMax H3 release.
Quantizing to INT8 represents each weight with an 8-bit integer instead of a 16- or 32-bit float, which roughly halves memory versus FP16 and can move a model down a GPU tier. The trade-off is precision: quality loss from quantization ranges from negligible to visible depending on the model architecture and how carefully the calibration step was done. Whether MiniMax has published an INT8 build of H3, and how it performs, is not something this site has verified or benchmarked.
Model size on disk and in VRAM both follow directly from parameter count and precision: params × bytes-per-parameter. A 10-billion-parameter model is roughly 20GB at FP16 or 10GB at INT8, as a weights-only figure before runtime overhead. This site does not publish a specific parameter count or file size for MiniMax H3, since the model is used here as a hosted API rather than a file this site downloads, stores, or runs, but this formula is what to apply once you have a verified parameter count from an official source.
A ComfyUI-based path to MiniMax H3 would carry its own, separately maintained requirements.
If a community ComfyUI node package reaches MiniMax H3 through a hosted API rather than local weights, its hardware requirements would be minimal, similar to this site's own generator. If it loads local weights instead, requirements would follow the same VRAM math above, driven by that specific package's model files, which this site does not build or verify. See the MiniMax H3 ComfyUI page for the full breakdown.
Read the MiniMax H3 ComfyUI page →| Aspect | Local Setup | Online MiniMax H3 Generator |
|---|---|---|
| Hardware | GPU and VRAM sized to the model's real parameter count | None required on your device |
| Install | Model files, drivers, and a compatible pipeline | None; open the browser and generate |
| Verified here | No requirement figures published | Live generator with visible settings and credits |
| Platform limits | Depends on Mac, AMD, or GPU compatibility | Works from any modern browser |
| Best for | Repeated local generation with full hardware control | Immediate generation with no setup |
This site has no verified system requirements to publish, because MiniMax H3 is used here as a hosted API rather than software installed and run locally. Any specific requirement would depend on whichever local implementation is being referenced.
Roughly: parameter count × bytes-per-parameter for the weights, plus meaningfully more for activations across every frame of the clip, plus 10 to 30 percent overhead. Video models generally need more headroom than an image model with a similar parameter count for exactly that reason. This site has no verified MiniMax H3 parameter count to plug into that formula.
Having enough memory and having fast, supported local inference are two different questions. Apple Silicon's unified memory removes the fixed-VRAM ceiling a discrete GPU has, but Metal/MPS support and speed for a specific new model depend on whether that model has been ported to it, which this site has not verified for MiniMax H3.
ROCm support varies by model and generally arrives after CUDA support for new releases. This site has not verified any MiniMax H3 ROCm compatibility.
Quantization to INT8 typically cuts weight memory roughly in half compared to FP16, which can move a model from one GPU tier to a smaller one. That only applies if an INT8 build actually exists and its quality loss is acceptable for your use, neither of which this site has verified for MiniMax H3.
Use the online generator on this site. It runs on the provider's infrastructure, so there is no GPU, VRAM, or OS requirement on your side, only a browser and an account.
The online MiniMax H3 generator runs on the provider's infrastructure, so hardware and driver requirements never apply to you. Sign in, describe or reference your shot, and generate directly in the browser.
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