Best video models for a 32 GB Mac
Which open-weight video models run on a 32 GB Mac. Verdicts come from exact Hugging Face file sizes, model card and app maker statements, and published runs.
- Run
- 5
- Unknown
- 2
- Does not fit
- 0
5 of 7 listed video models run on a 32 GB Mac: MiniMax H3, LTX-2.3, LTX-2.5, Wan2.1 and Wan2.2 TI2V 5B. Highest blind-vote rank among them: MiniMax H3, #8 of 48 in text to video (Arena, snapshot 2026-09-22). No figure covers Mochi 1 preview and Wan2.2 A14B at this size yet.
A 48 GB Mac gets the same verdicts.
License check before commercial use: MiniMax H3, LTX-2.3, LTX-2.5.
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Which video models run on a 32 GB Mac?
7 modelsRuns means a published run on 32 GB or less, or a model card or app maker figure at or below it. Does not fit means the weights the app keeps resident in the smallest complete build are larger than 32 GB. A Mac has one memory pool, so the text encoder cannot move out to a separate system RAM; an app that loads the text encoder and the main model one after the other counts only its largest stage. unknown means no source covers this size yet; it is not a failure.
| Model | Verdict | Why | Quality | App |
|---|---|---|---|---|
| MiniMax H3MiniMax H3 Community License Agreement | Runs · Published on M4 Pro · 24 GB | A published run on M4 Pro · 24 GB, below this 32 GB tier used the Argus calibrated INT8 DiT with the official text encoder and VAEs build (115.5 GB download) in Argus-AiTeam/minimax-h3-mac (MLX streaming).Argus MLX route README (INT8 run) | #8 of 48 in text to video11,417 votes | Argus-AiTeam/minimax-h3-mac (MLX streaming), antirez/h3.c (Metal), ddalcu/mlx-serve, stable-diffusion.cpp, ComfyUI |
| LTX-2.3LTX-2 Community License Agreement | Runs · Published | A dated run on Apple M2 Pro with 32 GB of unified memory: ltx-2-mlx bf16 distilled with block streaming, 480x704, 33 frames.ltx-2-mlx project notes | No independent score yet | Lightricks/LTX-2 ltx-pipelines, appautomaton/ltx-video-mlx, ComfyUI |
| LTX-2.5LTX-2.x Community License Agreement | Runs · Published | A dated run on Apple M2 Pro with 32 GB of unified memory: ltx-2-mlx q8 with --low-ram, 768x512, 49 frames.ltx-2-mlx pipelines docs | No independent score yet | Lightricks/LTX-2 ltx-pipelines, ComfyUI |
| Wan2.1Apache License 2.0 | Runs · Stated | Stated by the source: 32 GB of unified memory runs it (Draw Things, 720p up to 81 frames).Draw Things wiki: video generation | No independent score yet | ml-explore/mlx-examples Wan2.1, ComfyUI, FastVideo MLX (FastMetal) |
| Wan2.2 TI2V 5BApache License 2.0 | Runs · Published on M5 · 24 GB | A published run on M5 · 24 GB, below this 32 GB tier used the FastMetal 5B QAD (DMD2-distilled INT8 derivative, not the base model) build (19.5 GB download) in FastVideo MLX (FastMetal).FastMetal-QAD announcement | No independent score yet | Blaizzy/mlx-video, FastVideo MLX (FastMetal), ComfyUI |
| Mochi 1 previewApache License 2.0 | unknown | The smallest complete build, calcuis GGUF Q3_K_M with Q4_0 T5 and FP8 VAE, is a 7.7 GB download, but no stated figure or published run covers 32 GB of unified memory yet. | #48 of 48 in text to video5,893 votes | Diffusers, ComfyUI |
| Wan2.2 A14BApache License 2.0 | unknown | The smallest complete build, PocketAI MLX Q4 (group size 64), is a 28.6 GB download, but no stated figure or published run covers 32 GB of unified memory yet. | #42 of 48 in text to video10,458 votes | PocketAI Wan2.2 MLX (pocketai-wan-video), ComfyUI |
Quality: blind human votes from Arena (arena.ai), CC BY 4.0, snapshot 2026-09-22. Scores are for the Arena checkpoint, not your local quantized build.
Frequently asked questions
What is the best video model for a 32 GB Mac?
MiniMax H3 has the highest blind-vote rank among the video models that run on a 32 GB Mac: #8 of 48 in text to video, from 11,417 votes (Arena, snapshot 2026-09-22). LTX-2.3, LTX-2.5, Wan2.1 and Wan2.2 TI2V 5B also run.
Which video models run on a 32 GB Mac?
MiniMax H3 (published run on M4 Pro · 24 GB), LTX-2.3 (run on Apple M2 Pro with 32 GB), LTX-2.5 (run on Apple M2 Pro with 32 GB), Wan2.1 (32 GB stated by Draw Things wiki: video generation) and Wan2.2 TI2V 5B (published run on M5 · 24 GB).
Which video models are not confirmed on a 32 GB Mac?
Mochi 1 preview (calcuis GGUF Q3_K_M with Q4_0 T5 and FP8 VAE, 7.7 GB) and Wan2.2 A14B (PocketAI MLX Q4 (group size 64), 28.6 GB). No stated figure or published run covers this size yet, which is not the same as a failure.