Can Mistral Small 3.2 24B run on MacBook Pro M4 32GB?
YES — Tight Fit
Mistral Small 3.2 24B needs ~21.7 GB VRAM. MacBook Pro M4 32GB has 23.0 GB. With Q4_K_M quantization, expect ~10 tok/s.
Operating mode
Choose the run profile you care about
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Tight fit
Decode
9.5 tok/s
TTFT
20344 ms
Safe context
25K
Memory
21.7 GB / 23.0 GB
Memory breakdown
See how fast it feels
What limits this setup
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
Best improvement path
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Tight fit | 9.5 tok/s | 11097 ms | 25K |
| Coding | A | Tight fit | 9.5 tok/s | 20344 ms | 25K |
| Agentic Coding | A | Runs with offload (needs ~0.7 GB host RAM) | 8.7 tok/s | 32403 ms | 25K |
| Reasoning | A | Tight fit | 9.5 tok/s | 24043 ms | 25K |
| RAG | A | Runs with offload (needs ~0.7 GB host RAM) | 8.7 tok/s | 40504 ms | 25K |
Quantization options
How Mistral Small 3.2 24B (24B params) fits at each quantization level on MacBook Pro M4 32GB (23.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 9.4 GB | Low | A83 |
Q3_K_S | 3 | 11.8 GB | Low | A84 |
NVFP4 | 4 | 13.4 GB | Medium | A84 |
Q4_K_M | 4 | 14.6 GB | Medium | A84 |
Q5_K_MBest for your GPU | 5 | 17.3 GB | High | A83 |
Q6_K | 6 | 19.7 GB | High | F0 |
Q8_0 | 8 | 25.7 GB | Very High | F0 |
F16 | 16 | 49.2 GB | Maximum | F0 |
Get started
Copy-paste commands to run Mistral Small 3.2 24B on your machine.
Run
ollama run mistral-small3.2Your hardware
