RX 9070 16GBBudget pick
C65 tok/s decode
~$479 MSRP
Can it run?
Tight fit
Using Q4_K_M in Ollama
Fit status
Tight fit
Decode
107.6 tok/s
TTFT
1798 ms
Safe context
19K
Memory
10.1 GB / 12.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs with offload | 110.6 tok/s | 2545 ms | 33K |
| Chat | B | Runs well | 110.6 tok/s | 954 ms | 10K |
| Coding | C | Tight fit | 107.6 tok/s | 1798 ms | 19K |
| RAG | C | Runs with offload | 110.6 tok/s | 3182 ms | 33K |
| Reasoning | C | Tight fit | 110.6 tok/s | 2068 ms | 19K |
How HelpingAI2.5 10B i1 (10B params) fits at each quantization level on RTX 3080 Ti 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.9 GB | Low | D36 |
Q3_K_S | 3 | 4.9 GB | Low | D37 |
NVFP4 | 4 |
Upgrade options
~$479 MSRP
~$499 MSRP
RTX 5070 Ti 16GBNVIDIA upgrade5.6 GB |
| Medium |
| D39 |
Q4_K_M | 4 | 6.1 GB | Medium | D40 |
Q5_K_M | 5 | 7.2 GB | High | C42 |
Q6_KBest for your GPU | 6 | 8.2 GB | High | C43 |
Q8_0 | 8 | 10.7 GB | Very High | C44 |
F16 | 16 | 20.5 GB | Maximum | F0 |
~$749 MSRP
RTX 4080 Super 16GBBiggest leap~$999 MSRP