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Models / MiniMax M3.1 Flash

Best home rig for MiniMax M3.1 Flash

Current model428B total · 23B active1 measured resultfastest plain decode: 25.3 tok/s model info ↗

Will it fit my GPU? Best value GPU per euro →

Real, measured generation speeds for MiniMax M3.1 Flash on home hardware, fastest first. Different quants/engines aren't directly comparable.

BuildQuantEnginetok/sCostSource
Mac Studio M3 Ultra (60-core GPU) 256 GB running MiniMax M3.1 FlashoQ3e-mtp (MTP off)oMLX v0.7.225.3omlx.ai ↗
Rent before you buy: try this model on a cloud GPU for a few dollars first: Runpod (referral link; sign up with Google to get the new-user bonus)

Memory math: how much VRAM / RAM does MiniMax M3.1 Flash need?

MiniMax M3.1 Flash has 428B parameters, about 23B active per token (source: Hugging Face model card: ~428B total, 23B activated per token (quantization-aware trained)). Weight size = parameters × bits-per-weight ÷ 8, before context (KV cache) and runtime overhead.

FormatBits/weightWeightsSmallest common memory size that holds the weights alone
Q8_08.50454.8 GB512 GB
Q6_K6.56351.1 GB512 GB
Q5_K_M5.70305.1 GB512 GB
Q4_K_M4.89261.9 GB512 GB
Q3_K_M4.00213.8 GB256 GB
Q2_K3.16169.0 GB192 GB

Bits-per-weight for GGUF quants are llama.cpp's own figures (llama.cpp quantize README). "As measured" rows apply the source's stated bits-per-weight to the parameter count; real files differ slightly because some layers stay at higher precision. Try other combinations in the VRAM calculator.

Why it can still run on smaller GPUs: it is a mixture-of-experts model, so only about 23B of its 428B parameters are used for each generated token. Runtimes such as llama.cpp (--n-cpu-moe), ExLlamaV3 or Project Maya can keep most expert weights in system RAM and only the shared layers and hot experts in VRAM. Then you need VRAM + system RAM ≥ weights, and speed is limited mainly by RAM bandwidth.

Measured on setups with less GPU memory than the Q4_K_M weights (so part of the model lived in system RAM or was streamed from disk):

FAQ

How much VRAM does MiniMax M3.1 Flash need?

The weights are about 261.9 GB at Q4_K_M (428B params × 4.89 bits ÷ 8, before context/KV cache). Add memory for context (KV cache) and the runtime. The smallest-memory setup with a measured result here is Apple M3 Ultra (256 GB) at 25.3 tok/s (oQ3e-mtp (MTP off)). At Q4_K_M the weights are about 261.9 GB, more than 256 GB, so Q4_K_M doesn't fully fit without offloading part of the model to system RAM.

What is the fastest measured hardware for MiniMax M3.1 Flash?

Apple M3 Ultra: 25.3 tok/s generation (oMLX v0.7.2, oQ3e-mtp (MTP off)), from https://omlx.ai/benchmarks/performance/m5fqe90r.

Which GPUs have measured results for MiniMax M3.1 Flash?

Apple M3 Ultra.

Can it run on… Apple M3 Ultra

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