MiniMax H3 tool
MiniMax H3 system RAM requirements
Not enough as configured. System RAM is the bottleneck.
This site completed 1344×768 for 124 frames at a peak of 11,649 MiB on a 12,288 MiB card. Green means a run finished in this band, not that headroom is left: the 639 MiB gap is what ComfyUI left after filling the card.
- Actual
- 12,288 MiB
- Threshold
- 12,288 MiB
Peak system RAM reached 43,587 MiB on our test machine. A 32GB machine has 32,768 MiB in total, leaving a shortfall of about 10.6GB before the operating system takes its share.
- Actual
- 32,768 MiB
- Threshold
- 45,958 MiB
Logical CPU count not given. CPU only affects offload speed here and never decides the overall light.
Fixes to try
- Start ComfyUI with --disable-pinned-memory. One RTX 3090 report dropped system RAM from 29.8GB to 7.5GB; an Ubuntu RTX 3060 report stopped whole-machine freezes with the same flag. Turn the switch off above to see your machine judged that way.
--disable-pinned-memory - Swap the Qwen3-VL-32B text encoder for the Qwen3-VL-4B conversion. The report behind it (15.7GB down to 5.2GB) was written as VRAM, not system RAM, so treat the host-side saving as unmeasured.
Nothing is charged and no sign-in is asked for. This records one anonymous intent event and expands the comparison — the page and URL stay exactly as they are.
Two separate rulebooks. fal’s own terms govern the hosted run; the MiniMax H3 Community License’s territory terms govern local weights. They are stated separately, and neither overrides the other — a hosted preview is not a way around the model license.
Threshold table 1.0.3 · where each line comes from
Read the full guide
The short answer
Peak system RAM reached 43,587 MiB on our test machine. A 32GB machine has 32,768 MiB in total, leaving a shortfall of about 10.6GB before the operating system takes its share.
Two runs, 40x apart in workload
Both site-measured workloads used the shared environment listed under Test conditions, including the same official R2V template, Ref2VA pruned INT8 and a fixed seed.
| Measurement | Smoke run | Full run |
|---|---|---|
| Wall time | 55.6 s | 2,581.8 s |
| Peak VRAM | 11,591 MiB (94.3%) | 11,649 MiB (94.8%) |
| Peak system RAM | 43,176 MiB | 43,587 MiB |
The workload increased by roughly 40x and wall time by roughly 46x, while peak system RAM increased by only 411 MiB, under 1%.
The smoke run rendered 512×288 for 22 frames; the full run rendered 1344×768 for 124 frames. That is 3,244,032 pixel-frames against 127,991,808, a factor of 39.5.
Why lowering resolution does not help
For these measured runs, the memory budget was determined by resident model weights and working buffers rather than output size. Lowering resolution bought time, not memory: the much smaller workload completed sooner without materially changing the system-RAM peak.
Do not treat two points as a curve. These are two measurements from the same configuration, not a basis for broader extrapolation. They do not establish behavior for other model variants, runs with audio enabled, or outputs large enough to exceed VRAM.
Test conditions
- RTX 3060 12GB on physical GPU 0.
- Proxmox VE VM 100 with 16 vCPU, 47.05 GiB RAM and no swap.
- ComfyUI 0.31.0 and PyTorch 2.13.0+cu130.
- Official R2V template with Ref2VA pruned INT8 and a fixed seed.
- The smoke run rendered 512×288 for 22 frames at 24fps; the full run rendered 1344×768 for 124 frames.
- Audio, Turbo LoRA and SageAttention were not enabled.
- System memory was measured from cgroup memory.peak, supported by VmHWM and MemAvailable_min.
Where each line comes from
Every band the checker uses, with its lower bound, its light and the evidence behind it. Bands marked measured come from this site's own run records; bands marked reported come from first-hand posts with the hardware stated.
The same table, as JSON, sits inside this page and is the file the site's estimation engine reads; the checker is one implementation of it, the engine another. Pinned memory decides which system RAM ladder applies because one report moved a machine two lights by turning it off.
Frequently asked questions
Is 32GB of RAM enough to run MiniMax H3 locally?
Not on our test machine. Peak system RAM was 43,587 MiB, while a 32GB system has 32,768 MiB in total. That is a shortfall of about 10.6GB before the operating system takes its share.
Does lowering the resolution reduce MiniMax H3 memory use?
Barely. We ran the same workflow at two sizes about 40 times apart in workload. Wall time went from 55.6 seconds to 2,581.8 seconds, but peak system RAM moved only from 43,176 MiB to 43,587 MiB, a difference under one percent. Lowering resolution buys time, not memory.
How much system RAM should I have for MiniMax H3?
Our runs peaked just under 43GB on a machine with 47.05 GiB available, leaving very little headroom. Anything at or below 32GB was short on every run we measured.
Does MiniMax H3 need 64GB of RAM?
Not strictly. With pinned memory on, every completed run this site has recorded peaked between 42,060 and 43,910 MiB, so a 48GB machine finishes with a few gigabytes to spare and 64GB is the first common size with comfortable headroom. With pinned memory off, one RTX 3090 report dropped system RAM from 29.8GB to 7.5GB, which is why the checker above turns a 32GB machine green in that mode. That flag has not been measured on this site's own bench.
Selected results
A selection, not a firehose — reviewed results next to this site's own evidence.
Site presets
Community results
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