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MiniMax H3 Before the Weights: A Memory Estimate's Limits

IMAGE, VIDEO & AUDIO

MiniMax H3 Before the Weights: A Memory Estimate's Limits

Open Source Factory · Aug 02, 2026 · 4 min read

October 3, 2026 update: The “weights coming soon” wording below describes the original announcement. MiniMax subsequently published weights and local-deployment instructions on August 3; use the linked release guide for the current files.

Before the H3 files arrived, a capacity calculation could only identify likely constraints. It could not establish a working local pipeline. The later release reports and encoder experiment linked here provide narrower evidence about actual configurations, which should be read separately from the original estimate.

In this article
  1. Announced service capabilities
  2. Launch service pricing
  3. The original local-memory estimate
  4. Weight-release and license conditions
  5. Post-release evidence
  6. Linked source documents

The initial announcement promised weights within days. This article records the pre-release capacity calculation. The weights were subsequently published, and the later reports below provide evidence that was not available for that first estimate.

Announced service capabilities

· Output: native 2K (2560×1440) / 24 FPS — not upscaled
· Length: 5–15 seconds
· Audio: dialogue, SFX, and BGM generated together with the video (stereo)
· Input: text + up to 9 images + 3 videos + 3 audio = 12 references in one context
· Modes: text→video, first/last frame, reference→video, natural-language video editing
· Prompt: up to 7,000 characters

The key is the "12 references at once" part. Before, you'd feed a character image to one model, a motion video to another, a voice to a third, then stitch it all together. H3 handles it in a single call — "follow the Hitchcock camera move from Video 1, have the character from Image 2 sing with the voice from Audio 3," that kind of thing.

H3 vs Seedance vs Kling feature comparison
Relative feature comparison. Resolution, audio, and editing are H3's strengths; Seedance wins on max length (30s). (Author's estimate)

Launch service pricing

$0.13 per second at 2K — about $1.95 for a 15-second clip. Versus competitors:

Per-minute cost comparison chart
Per-minute cost. H3 runs about 1/3 of Seedance / Kling. (Varies by gateway; fal is pricier at $0.26/s)

One trap: the length of any reference videos you feed in is added to the billed time. Make a 5s video with a 3s reference and you're billed for 8s. Don't forget this when you're budgeting.

The original local-memory estimate

This section began as a pre-release estimate, before the exact parameter count and pipeline were public. The later release supersedes those guesses. The examples below now explain why parameter count alone cannot decide GPU fit.

A text model from the same company cannot establish the video model’s size. Video resolution also does not uniquely determine parameter count. A defensible estimate needs the actual component files and runtime allocations.

VRAM estimate by parameter scale
VRAM estimates by parameter scale. This only covers weight loading — actual generation eats far more for KV cache and frame buffers.

My expectations, in three scenarios:

Large-model example: 30 billion parameters at hypothetical uniform 4-bit precision are 15GB before overhead. That arithmetic alone does not rule a 24GB GPU in or out: additional components and peak runtime allocations can decide the result.
Smaller-model example: fewer weight bytes leave more room, but the same video pipeline may still require substantial buffers. Fix the frame count and resolution when comparing peak memory; do not infer it from model size alone.
Distilled-model example: a smaller or shorter-step artifact changes the test only when that artifact exists. A hoped-for release is not a current hardware option. Check the published model card and workflow before budgeting for it.

Count the encoder, transformer, audio components, cached conditioning and runtime buffers together. Resolution and frame count can change peak usage even when weight files stay identical. A successful load is only the first stage of the test.

For reference: the text model M3 was ~143GB even Q4-quantized, effectively unrunnable in a normal home setup. A video model won't be that bad, but let's not get optimistic.

Weight-release and license conditions

The license turned out to be the MiniMax Community License: commercial use only for organizations under $20M annual revenue, with attribution required. That's not OSI-certified open source — it's "source-available," the same shape as Meta's Llama.

Practically free for individual creators, indie studios, and early startups. But a bigger ad production? Maybe not. And as of Aug 2, there still aren't any downloadable files — it's a "within days" promise.

Post-release evidence

If you want to try it right now, the API is the way. A 15s 2K clip at $1.95 is less than lunch money — testing with your own prompts beats a hundred reviews.

The early estimate could not establish whether a particular consumer GPU would run the final pipeline. The artifact, encoder placement, quantization, resolution and offloading path all affect that result. Do not use the hosted 2K specification as the local configuration.

For post-release evidence, read the early community timing roundup and the later 1080 Ti encoder experiment. The latter includes a specific prompt and controls; neither is a general fit guarantee for every H3 workflow.

Related on this blog: MiniMax's open music model · my first impressions of those open weights

Sources: MiniMax official blog (2026.07.31) · Artificial Analysis leaderboard · SaaSCity · fal.ai · Reuters
Hardware estimates are my speculation and will be updated against the official model card.
Open Source Factory · opensourcefactory1.blogspot.com

Linked source documents

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