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Builds / Apple M5 Max (unified)

MacBook Pro M5 Max 128 GB: Qwen3.8 Flash-Next at 44.4 tok/s (llama.cpp), 64.5 with MTP on oMLX

Source: heretik.io โ†—๐Ÿ“ How measured: reported by the original source; RigBase re-checked the numbers at that source
GPU(s)
Apple M5 Max (unified)
VRAM / unified memory (GB)
128
CPU
Apple M5 Max
Motherboard
not stated
RAM
128 GB unified
PSU
not stated
Other
MacBook Pro; 262K context, BF16 mmproj loaded, 1024 generated tokens, greedy
Reported total cost
not stated
Power
not stated

Measured speed (generation tokens/sec)

ModelQuantEnginetok/sPrompt processing (tok/s)Details
Qwen3.8 Flash-NextUD-IQ4_XSllama.cpp b76b133, no speculative decoding44.41,140 (prompt length not stated)context: 262K ctx, empty context๐Ÿ“ 1024 generated tokens, greedy (llama-bench tg128: 46.3)
Qwen3.8 Flash-NextUD-IQ4_XS + mtp-Qwen3.8-Flash-Next-Q8_0 headllama.cpp b76b133, MTP (--spec-draft-n-max 2)59.3not statedโšก spec-decode (MTP)context: 262K ctx, empty context (45.6 tok/s at 245K)๐Ÿ“ 1024 generated tokens, greedy
Qwen3.8 Flash-NextoQ4e MLX (4.72 bpw, Jundot/Qwen3.8-Flash-Next-oQ4e-mtp)oMLX 0.7.1rc1, no speculative decoding50not statedcontext: 262K ctx๐Ÿ“ Source gives 50-58 tok/s; low end used
Qwen3.8 Flash-NextoQ4e MLX (4.72 bpw) with MTP headoMLX 0.7.1rc1, MTP + n-gram table on SSD64.51,386 (prompt length not stated)โšก spec-decode (MTP)context: 262K ctx, empty context (59.7 tok/s at 245K)๐Ÿ“ 1024 generated tokens, greedy

Prompt processing = prefill speed (how fast the prompt is read) as reported by the source, with the prompt length it was measured at; blank = the source does not report it. est. TTFT @8k is calculated from the measured prefill speed (8,192 รท prefill tok/s), shown only when prefill was measured on a prompt of 512+ tokens. It is not a measurement and ignores load time and caching. measured TTFT is the source's own time-to-first-token. Why prefill matters for coding assistants.

heretik.io write-up, 16 Oct 2026.

Source: https://heretik.io/qwen38-flash-next-mtp-macbook/

Blank fields = not stated in the source. We never estimate build data; GPU street prices above are separately sourced and dated.

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)