RTX 4090 24GBBudget pickC83.7 tok/s decode
~$1,599 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
63.0 tok/s
TTFT
3075 ms
Safe context
22K
Memory
14.7 GB / 20.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 52.5 tok/s | 5368 ms | 38K |
| Chat | C | Runs well | 52.5 tok/s | 2013 ms | 12K |
| Coding | B | Runs well | 63.0 tok/s | 3075 ms | 22K |
| RAG | C | Tight fit | 52.5 tok/s | 6710 ms | 38K |
| Reasoning | C | Runs well | 52.5 tok/s | 4362 ms | 22K |
How Phi 4 reasoning vision 15B (15B params) fits at each quantization level on RX 7900 XT 20GB (20.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.9 GB | Low | D35 |
Q3_K_S | 3 | 7.4 GB | Low | D37 |
NVFP4 | 4 |
Upgrade options
RTX 4090 24GBBudget pick~$1,599 MSRP
8.4 GB |
| Medium |
| D38 |
Q4_K_M | 4 | 9.2 GB | Medium | D39 |
Q5_K_M | 5 | 10.8 GB | High | C41 |
Q6_KBest for your GPU | 6 | 12.3 GB | High | C42 |
Q8_0 | 8 | 16.1 GB | Very High | C44 |
F16 | 16 | 30.7 GB | Maximum | F0 |