Pixtral 12B needs ~14.1 GB VRAM. MacBook Pro M4 32GB has 23.0 GB. With Q4_K_M quantization, expect ~11 tok/s.
Operating mode
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
Runs well
Decode
11.2 tok/s
TTFT
17339 ms
Safe context
74K
Memory
14.1 GB / 23.0 GB
This setup is broadly balanced for this model.
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.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 11.2 tok/s | 9457 ms | 74K |
| Coding | A | Runs well | 11.2 tok/s | 17339 ms | 74K |
| Agentic Coding | A | Runs well | 11.2 tok/s | 25220 ms | 74K |
| Reasoning | A | Runs well | 11.2 tok/s | 20491 ms | 74K |
| RAG | A | Runs well | 11.2 tok/s | 31525 ms | 74K |
How Pixtral 12B (12B params) fits at each quantization level on MacBook Pro M4 32GB (23.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.7 GB | Low | B69 |
Q3_K_S | 3 | 5.9 GB | Low | B70 |
NVFP4 | 4 | 6.7 GB | Medium | A70 |
Q4_K_M | 4 | 7.3 GB | Medium | A71 |
Q5_K_M | 5 | 8.6 GB | High | A72 |
Q6_K | 6 | 9.8 GB | High | A72 |
Q8_0Best for your GPU | 8 | 12.8 GB | Very High | A74 |
F16 | 16 | 24.6 GB | Maximum | F0 |
Copy-paste commands to run Pixtral 12B on your machine.
Run
ollama run pixtralYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | A | 11.7 tok/s | |
| Qwen 3.5 27B | 27B | S | 8.6 tok/s | |
| Qwen 3.6 27B | 27B | S | 7.1 tok/s | |
| Qwen3-VL 30B A3B Instruct | 30B | S | 12.4 tok/s | |
| Qwen 3.5 35B A3B | 35B | A | 10.2 tok/s |
Yes, MacBook Pro M4 32GB can run Pixtral 12B with a A grade (Runs well). Expected decode speed: 11.2 tok/s.
Pixtral 12B (12B parameters) requires approximately 14.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Pixtral 12B is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 32GB, Pixtral 12B achieves approximately 11.2 tokens per second decode speed with a time-to-first-token of 17339ms using Q4_K_M quantization.
For coding workloads, Pixtral 12B on MacBook Pro M4 32GB receives a A grade with 11.2 tok/s and 74K context.
On MacBook Pro M4 32GB, Pixtral 12B can safely use up to 74K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Not always. MacBook Pro M4 32GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/pixtral-12b-on-m4-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: