Yes — Qwen 3.5 122B-A10B (122B-A10B) runs at 80 tok/s on M5 Ultra with 256 GB RAM using unstated quantization via LM Studio. A capable open-source LLM with 122B-A10B parameters.
Want to run Qwen 3.5 122B-A10B faster — or step up to bigger models? Find your Mac →The LLMCheck index estimates Qwen 3.5 122B-A10B on M5 Ultra 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 | 80 tok/s |
| Time to first token | — |
| Quantization | unstated |
| Minimum RAM | 256 GB |
| Recommended engine | LM Studio |
| Parameters | 122B-A10B |
| Benchmark date | 2026-09 |
unstated 122B-A10B LM Studio M5 Ultra
The recommended engine for Qwen 3.5 122B-A10B on M5 Ultra is LM Studio. Install Ollama, then pull the model:
Ollama handles quantization automatically — it will download the unstated variant (~256 GB) and start an interactive chat session.
| Chip | Speed | First Token | Min RAM | Engine |
|---|---|---|---|---|
| M4 Ultra | 71 tok/s | — | 192 GB | MLX |
| M5 Max | 44 tok/s | — | 128 GB | MLX |
| M4 Max | 40 tok/s | — | 128 GB | MLX |
| M3 Max | 29 tok/s | — | 128 GB | MLX |
To run Qwen 3.5 122B-A10B on M5 Ultra you need:
Qwen 3.5 122B-A10B needs about 256 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:
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See how Qwen 3.5 122B-A10B stacks up against other models on your specific Mac hardware.
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