Yes — Qwen3-Coder-Next (80B-A3B) runs at 32 tok/s on M4 Max with 64 GB RAM using Q4_K_M quantization via MLX. First token latency is 0.4s. A capable open-source LLM with 80B-A3B parameters.
Want to run Qwen3-Coder-Next faster — or step up to bigger models? Find your Mac →The LLMCheck index estimates Qwen3-Coder-Next on M4 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 →
| Metric | Value |
|---|---|
| Tokens per second | 32 tok/s |
| Time to first token | 0.4s |
| Quantization | Q4_K_M |
| Minimum RAM | 64 GB |
| Recommended engine | MLX |
| Parameters | 80B-A3B |
| Benchmark date | 2026-08 |
Q4_K_M 80B-A3B MLX M4 Max
The recommended engine for Qwen3-Coder-Next on M4 Max is MLX. Install with pip and pull the model:
Alternatively, you can use Ollama for a simpler setup:
| Chip | Speed | First Token | Min RAM | Engine |
|---|---|---|---|---|
| M4 Ultra | 58 tok/s | 0.3s | 96 GB | MLX |
| M5 Max | 35 tok/s | 0.4s | 64 GB | MLX |
To run Qwen3-Coder-Next on M4 Max you need:
Qwen3-Coder-Next needs about 64 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:
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See how Qwen3-Coder-Next stacks up against other models on your specific Mac hardware.
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