Yes — Qwen3-235B-A22B (235B) runs at 15 tok/s on M5 Max with 128 GB RAM using Q4_K_M quantization via Ollama. First token latency is 2.2s. Alibaba's massive 235B MoE (22B active) — near-cloud quality locally.
Want to run Qwen3-235B-A22B faster — or step up to bigger models? Find your Mac →The LLMCheck index estimates Qwen3-235B-A22B 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 →
| Metric | Value |
|---|---|
| Tokens per second | 15 tok/s |
| Time to first token | 2.2s |
| Quantization | Q4_K_M |
| Minimum RAM | 128 GB |
| Recommended engine | Ollama |
| Parameters | 235B |
| Benchmark date | 2026-04 |
Q4_K_M 235B Ollama M5 Max
The recommended engine for Qwen3-235B-A22B on M5 Max is Ollama. Install Ollama, then pull the model:
Ollama handles quantization automatically — it will download the Q4_K_M variant (~128 GB) and start an interactive chat session.
| Chip | Speed | First Token | Min RAM | Engine |
|---|---|---|---|---|
| M4 Ultra | 22 tok/s | 1.5s | 192 GB | MLX |
To run Qwen3-235B-A22B on M5 Max you need:
Qwen3-235B-A22B needs about 128 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:
As an Amazon Associate, LLMCheck earns from qualifying purchases. These affiliate links cost you nothing extra and help keep our benchmarks free.
See how Qwen3-235B-A22B stacks up against other models on your specific Mac hardware.
Open Compare Tool Full Leaderboard