Yes — GPT-oss 20B (21B-A3.6B) runs at 45 tok/s on M6 with 32 GB RAM using unstated quantization via LM Studio. A capable open-source LLM with 21B-A3.6B parameters.
Want to run GPT-oss 20B faster — or step up to bigger models? Find your Mac →The LLMCheck index estimates GPT-oss 20B on M6 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 | 45 tok/s |
| Time to first token | — |
| Quantization | unstated |
| Minimum RAM | 32 GB |
| Recommended engine | LM Studio |
| Parameters | 21B-A3.6B |
| Benchmark date | 2026-10 |
unstated 21B-A3.6B LM Studio M6
The recommended engine for GPT-oss 20B on M6 is LM Studio. Install Ollama, then pull the model:
Ollama handles quantization automatically — it will download the unstated variant (~32 GB) and start an interactive chat session.
To run GPT-oss 20B on M6 you need:
GPT-oss 20B needs about 32 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:
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