Yes — GLM-4.7-Flash (31B) runs at 35 tok/s on M5 Max with 64 GB RAM using Q4_K_M quantization via MLX. First token latency is 0.3s. A capable open-source LLM with 31B parameters.
Want to run GLM-4.7-Flash faster — or step up to bigger models? Find your Mac →The LLMCheck index estimates GLM-4.7-Flash 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 | 35 tok/s |
| Time to first token | 0.3s |
| Quantization | Q4_K_M |
| Minimum RAM | 64 GB |
| Recommended engine | MLX |
| Parameters | 31B |
| Benchmark date | 2026-08 |
Q4_K_M 31B MLX M5 Max
The recommended engine for GLM-4.7-Flash on M5 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 Max | 31 tok/s | 0.4s | 48 GB | MLX |
| M4 Pro | 16 tok/s | 0.5s | 24 GB | Ollama |
To run GLM-4.7-Flash on M5 Max you need:
GLM-4.7-Flash 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 GLM-4.7-Flash stacks up against other models on your specific Mac hardware.
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