Pixtral 12B needs ~12.3 GB VRAM. RX 9060 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~30 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
29.6 tok/s
TTFT
6539 ms
Safe context
41K
Memory
12.3 GB / 16.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 29.6 tok/s | 3567 ms | 41K |
| Coding | A | Runs well | 29.6 tok/s | 6539 ms | 41K |
| Agentic Coding | A | Tight fit | 29.6 tok/s | 9511 ms | 41K |
| Reasoning | A | Runs well | 29.6 tok/s | 7728 ms | 41K |
| RAG | A | Tight fit | 29.6 tok/s | 11889 ms | 41K |
Inference speed
Estimated decode speed (tokens/sec) for Pixtral 12B at Q4_K_M across popular GPUs and Apple Silicon, using the fastest local runtime per device. Fastest is RTX 5090 32GB at ~168 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.
| GPU / Mac | Memory | Quant | Speed (tok/s) | Fits? |
|---|---|---|---|---|
| 32 GB | Q4_K_M | 168.0 | Fits | |
| 24 GB | Q4_K_M | 112.5 | Fits | |
RX 7900 XTX 24GB | 24 GB | Q4_K_M | 101.5 | Fits |
| 24 GB | Q4_K_M | 96.2 | Fits | |
| 16 GB | Q4_K_M | 94.2 | Fits | |
Mac Studio M3 Ultra 256GB | 256 GB | Q4_K_M | 81.8 | Fits |
Mac Studio M2 Ultra 128GB | 128 GB | Q4_K_M | 68.1 | Fits |
Mac Studio M1 Ultra 128GB | 128 GB | Q4_K_M | 64.6 | Fits |
| 12 GB | Q4_K_M | 58.3 | Offloads | |
MacBook Pro M4 Max 128GB | 128 GB | Q4_K_M | 44.5 | Fits |
MacBook Pro M4 Max 64GB | 64 GB | Q4_K_M | 44.5 | Fits |
MacBook Pro M3 Max 64GB | 64 GB | Q4_K_M | 35.2 | Fits |
| 12 GB | Q4_K_M | 34.2 | Offloads | |
MacBook Pro M1 Max 64GB | 64 GB | Q4_K_M | 32.3 | Fits |
MacBook Pro M4 Pro 48GB | 48 GB | Q4_K_M | 27.2 | Fits |
| 8 GB | Q4_K_M | 9.7 | Too big |
Estimates for single-stream decoding at Q4_K_M; real tokens/sec varies with prompt length, context, batch size, and runtime build. Prompt processing (prefill) is faster than the decode figures shown here.
How Pixtral 12B (12B params) fits at each quantization level on RX 9060 XT 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.7 GB | Low | A72 |
Q3_K_S | 3 | 5.9 GB | Low | A73 |
NVFP4 | 4 | 6.7 GB | Medium | A74 |
Q4_K_M | 4 | 7.3 GB | Medium | A75 |
Q5_K_M | 5 | 8.6 GB | High | A75 |
Q6_KBest for your GPU | 6 | 9.8 GB | High | A75 |
Q8_0 | 8 | 12.8 GB | Very High | F0 |
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 |
|---|---|---|---|---|
| 14B | S | 25.5 tok/s | ||
| 14.7B | S | 24.2 tok/s | ||
| 21B | A | 23.3 tok/s | ||
| 14B | A | 25.4 tok/s | ||
| 22B | A | 8.5 tok/s |
Yes, RX 9060 XT 16GB can run Pixtral 12B with a A grade (Runs well). Expected decode speed: 29.6 tok/s.
Pixtral 12B (12B parameters) requires approximately 12.3 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 RX 9060 XT 16GB, Pixtral 12B achieves approximately 29.6 tokens per second decode speed with a time-to-first-token of 6539ms using Q4_K_M quantization.
For coding workloads, Pixtral 12B on RX 9060 XT 16GB receives a A grade with 29.6 tok/s and 41K context.
On RX 9060 XT 16GB, Pixtral 12B can safely use up to 41K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/pixtral-12b-on-rx-9060-xt-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: