Dedicated model · Available as managed deployment

MiniMax-H3 video generation in Europe: managed deployment

MiniMax's open-weight video model: a 33B image-and-text-to-video generator for short clips with strong motion and prompt adherence. Available as a managed deployment: validated on AxForge hardware and deployed on a DGX Spark for your traffic only, as an OpenAI-compatible endpoint on hardware only you use, hosted in the EU.

Available as managed deployment eu-es-1 · Málaga Text or image → video minimax-h3.axforge.ai
Request deployment Qwen3.8 27B, on the API now Hour, week, month or year. Hardware from €0.85/hour; managed service quoted per deployment.

Why MiniMax-H3

What you get

Text or image to videoStart from a prompt or a still image and generate a short clip with coherent motion, the open counterpart to hosted video APIs.
Open weights, your hardwareVideo generation on a system reserved for you: no per-clip vendor pricing, no content leaving the EU.
Licence reviewedMiniMax-H3 ships under its own model licence; AxForge reviews it with you and deploys under it where it applies.

Specifications

The model

ModelMiniMax-H3 by MiniMaxAI
ModalitiesText or image → video
Sizes33.1B
Released2026-07
Popularity5.3M downloads / month on HuggingFace
LicenceCommercial licence needed (the model's own licence); AxForge handles the licence where one is required
AvailabilityAvailable as managed deployment, operated by AxForge on hardware reserved for you
HardwareNVIDIA DGX Spark (GB10, 128 GB unified memory), owned and operated by AxForge
RegionMálaga, Spain (eu-es-1)
PricingHardware from €0.85/hour, rental term: Hour, week, month or year. Managed service quoted per deployment. Request deployment and we confirm both in writing.

We publish only numbers we measure ourselves, and we haven't benchmarked this model on our nodes yet. For quality benchmarks, see the model card in the catalogue and the official card on HuggingFace.

Deployment

What "managed deployment" means

SystemA dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory), reserved for you
Commercial modelHour, week, month or year. Hardware from €0.85/hour, managed service quoted per deployment
EndpointOpenAI-compatible /v1 on your own machine, only your traffic
LocationHosted in the EU: Málaga, Spain (eu-es-1)
Data handlingZero prompt retention, same policy as the serverless API

The model is validated on AxForge hardware and deployed on your system. After deployment, your endpoint speaks the OpenAI API with the model name you receive with the deployment.

Data & privacy

Zero prompt retention

Prompts and completions are processed in memory in the EU, not written to disk, not logged, not retained, and never used to train anything. We keep only request metadata (token counts, timestamps, status) for billing and operations. The full policy is at axforge.ai/privacy.

FAQ

MiniMax-H3 hosting: common questions

Is MiniMax-H3 on the AxForge serverless API?

Not on the serverless API. It is available as a managed deployment: validated on AxForge hardware and deployed on a DGX Spark for your traffic only. The serverless API serves Qwen3.8 27B.

What hardware does MiniMax-H3 need?

A dedicated DGX Spark handles the 33B model for short clips; for higher throughput AxForge scopes a multi-GPU system with you.

How long are the clips?

Short clips of a few seconds at the model's native resolution; length, resolution and throughput are confirmed with the deployment.

How fast is MiniMax-H3 on your hardware?

We publish only numbers we measure ourselves, and we haven't benchmarked this model on our nodes yet. For quality benchmarks, see the official model card.

What does a dedicated MiniMax-H3 deployment look like?

A dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory) rented by the hour, week, month or year, running MiniMax-H3 behind an OpenAI-compatible endpoint on your own machine, hosted in the EU with zero prompt retention.

What does EU MiniMax-H3 hosting cost?

Hardware from €0.85/hour, by the hour, week, month or year; the managed service is quoted per deployment. Request deployment and we confirm both in writing.

Ready to build on EU inference?

Request deployment Talk to an engineer

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