RX 7900 XTX 24GBBudget pick
B123.4 tok/s decode
~$999 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
13.9 tok/s
TTFT
13899 ms
Safe context
20K
Memory
18.3 GB / 23.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 13.9 tok/s | 20217 ms | 40K |
| Chat | C | Runs well | 13.9 tok/s | 7581 ms | 10K |
| Coding | C | Runs well | 13.9 tok/s | 13899 ms | 20K |
| RAG | C | Runs well | 13.9 tok/s | 25271 ms | 40K |
| Reasoning | C | Runs well | 13.9 tok/s | 16426 ms | 20K |
How GPT-OSS 20B (21B params) fits at each quantization level on MacBook Pro M4 32GB (23.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 8.2 GB | Low | D37 |
Q3_K_S | 3 | 10.3 GB | Low | D39 |
NVFP4 | 4 |
ollama run gpt-oss-20bhuggingface-cli download gpt-oss-20bUpgrade options
~$999 MSRP
~$1,499 MSRP
11.8 GB |
| Medium |
| C40 |
Q4_K_M | 4 | 12.8 GB | Medium | C41 |
Q5_K_M | 5 | 15.1 GB | High | C43 |
Q6_KBest for your GPU | 6 | 17.2 GB | High | C44 |
Q8_0 | 8 | 22.5 GB | Very High | C44 |
F16 | 16 | 43.1 GB | Maximum | F0 |
~$2,499 MSRP