Run MiniMax-M3 on M5 Ultra

The LLMCheck index estimates MiniMax-M3 at ~42 tok/s on an M5 Ultra at Q4_K_M, scaled from its community-measured M3 Ultra run with the published bandwidth model, not a measured run on this chip. It needs about 162 GB of unified memory. It is MiniMax's 428B mixture-of-experts model (23B active), released under the MiniMax Community licence.

Speed
estimated~42
tok/s
First Token
—
seconds
RAM Needed
162
GB minimum
Engine
MLX
of this figure
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The figure

This is an LLMCheck index estimate from its published two-term bandwidth model, not a measured run; the index labels it so everywhere it appears. Own this Mac? Submit a real run →

MetricValue
Tokens per secondestimated~42 tok/s
Provenanceestimate · how estimates are made
QuantizationQ4_K_M
EngineMLX
Figure dated2026-10
Minimum RAM162 GB
Parameters428B MoE (23B active)
Chip bandwidth1228 GB/s

Every figure for MiniMax-M3 on the M5 Ultra

Each row as the index holds it, with its source. “Mac RAM” is the memory of the Mac a run used, not the model’s requirement (162 GB). The headline figure follows the reference rule: the lower-median measured plain-decode run at 5 bits or fewer (a run whose quant was not stated counts only when no stated-quant run qualifies), else the estimate; a run marked “not used to anchor estimates” is listed here but never becomes the headline.

SpeedQuantEngineMac RAMContextSourceNote
estimated60 tok/sIQ3_XXSllama.cpp256 GB—LLMCheck estimator—
estimated42 tok/sQ4_K_MMLX512 GB—LLMCheck estimator—
Provenance key
sourced
Published figure — vendor or press review
estimated
community
Linked individual run — blog, forum or submission

Setup: run MiniMax-M3 on a Mac

Ollama — the index has not verified an Ollama tag for MiniMax-M3, so it doesn’t print one (a guessed tag fails with “pull model manifest: file does not exist”). Search the Ollama library →

MLX — pick a build from Hugging Face’s MLX listings, then run it with its repo id:

pip install -U mlx-lm
mlx_lm.generate --model <repo-id> --prompt "Hello"

Downloads: Hugging Face repo → · model card →

Prefer a GUI? LM Studio downloads GGUF and MLX builds in one click. Step by step: install Ollama on a Mac.

MiniMax-M3 on other Apple Silicon chips

ChipSpeedQuantEngineBandwidth
M3 Ultracommunity29 tok/s4-bitMLX819 GB/s

About MiniMax-M3

MiniMax's 428B MoE (23B active, Jun 2026) with sparse attention, image and video input and a 1M window (512K guaranteed); SWE-bench Verified 80.5 on a Claude Code scaffold. The MiniMax Community License is non-commercial by default: commercial use needs a 'Built with MiniMax M3' credit and notice, plus written approval above $20M revenue. 3-bit GGUFs (~160 GB) fit a 192–256 GB Mac Studio and 4-bit needs 512 GB; a community oMLX run measured 28.9 tok/s at 4-bit on an M3 Ultra (1k context), and mlx-lm 0.32.0+ is text-only.

MiniMax Community licence · 428B MoE · 1000K context · LLMCheck capability 48/50 · see its leaderboard rank →

System requirements

Macs with the M5 Ultra

🛒 Get a Mac that runs MiniMax-M3

MiniMax-M3 needs about 162 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:

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