Run Qwen3.8-Flash-Next on M5 Max

Yes — Qwen3.8-Flash-Next (125B-A6B) runs at 49 tok/s on M5 Max with 128 GB RAM using Q4_K_M quantization via MLX. A capable open-source LLM with 125B-A6B parameters.

Speed
estimated49
tok/s
First Token
seconds
RAM Needed
128
GB minimum
Engine
MLX
recommended
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Benchmark Details

The LLMCheck index estimates Qwen3.8-Flash-Next on M5 Max using our published methodology: Q4_K_M quantization, memory-bandwidth scaling, and cross-referenced third-party benchmarks where available. Figures are transparent estimates — own this config? Submit a real benchmark →

MetricValue
Tokens per second49 tok/s
Time to first token
QuantizationQ4_K_M
Minimum RAM128 GB
Recommended engineMLX
Parameters125B-A6B
Benchmark date2026-09

Q4_K_M 125B-A6B MLX M5 Max

Setup Guide: Run Qwen3.8-Flash-Next on M5 Max

The recommended engine for Qwen3.8-Flash-Next on M5 Max is MLX. Install with pip and pull the model:

pip install mlx-lm
mlx_lm.generate --model mlx-community/qwen38-flash-next-q4_k_m --prompt "Hello!"

Alternatively, you can use Ollama for a simpler setup:

ollama run qwen38-flash-next

Performance on Other Apple Silicon Chips

ChipSpeedFirst TokenMin RAMEngine
M5 Ultra 85 tok/s 256 GB MLX
M4 Ultra 78 tok/s 192 GB MLX
M3 Ultra 63 tok/s 256 GB MLX
M4 Max 45 tok/s 128 GB MLX

System Requirements

To run Qwen3.8-Flash-Next on M5 Max you need:

🛒 Get a Mac that runs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next needs about 128 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:

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Compare More Models

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