Yes — Devstral Small 24B (24B) runs at 45 tok/s on M5 Max with 128 GB RAM using Q4_K_M quantization via MLX. First token latency is 0.6s. A capable open-source LLM with 24B parameters.
Want to run Devstral Small 24B faster — or step up to bigger models? Find your Mac →The LLMCheck index estimates Devstral Small 24B 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 | 45 tok/s |
| Time to first token | 0.6s |
| Quantization | Q4_K_M |
| Minimum RAM | 128 GB |
| Recommended engine | MLX |
| Parameters | 24B |
| Benchmark date | 2026-05 |
Q4_K_M 24B MLX M5 Max
The recommended engine for Devstral Small 24B 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 | 35 tok/s | 0.8s | 48 GB | MLX |
| M4 Pro | 26 tok/s | 1.0s | 32 GB | Ollama |
To run Devstral Small 24B on M5 Max you need:
Devstral Small 24B 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 Devstral Small 24B stacks up against other models on your specific Mac hardware.
Open Compare Tool Full Leaderboard