Qwen 3 8B needs ~10.7 GB VRAM. RTX 3090 Ti 24GB has 24.0 GB. With Q4_K_M quantization, expect ~112 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
112.0 tok/s
TTFT
1729 ms
Safe context
113K
Memory
10.7 GB / 24.0 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 | S | Runs well | 112.0 tok/s | 943 ms | 113K |
| Coding | S | Runs well | 112.0 tok/s | 1729 ms | 113K |
| Agentic Coding | S | Runs well | 112.0 tok/s | 2514 ms | 113K |
| Reasoning | S | Runs well | 112.0 tok/s | 2043 ms | 113K |
| RAG | S | Runs well | 112.0 tok/s | 3143 ms | 113K |
How Qwen 3 8B (8B params) fits at each quantization level on RTX 3090 Ti 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | A84 |
Q3_K_S | 3 | 3.9 GB | Low | A85 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 3 8B on your machine.
Run
ollama run qwen3:8bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 108.2 tok/s | |
| Qwen 3.5 27B | 27B | S | 46.9 tok/s |
Yes, RTX 3090 Ti 24GB can run Qwen 3 8B with a S grade (Runs well). Expected decode speed: 112.0 tok/s.
Qwen 3 8B (8B parameters) requires approximately 10.7 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3 8B is Q4_K_M, which balances quality and memory efficiency.
On RTX 3090 Ti 24GB, Qwen 3 8B achieves approximately 112.0 tokens per second decode speed with a time-to-first-token of 1729ms using Q4_K_M quantization.
For coding workloads, Qwen 3 8B on RTX 3090 Ti 24GB receives a S grade with 112.0 tok/s and 113K context.
On RTX 3090 Ti 24GB, Qwen 3 8B can safely use up to 113K 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/qwen-3-8b-on-rtx-3090-ti-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
4.5 GB |
| Medium |
| S85 |
Q4_K_M | 4 | 4.9 GB | Medium | S85 |
Q5_K_M | 5 | 5.8 GB | High | S86 |
Q6_K | 6 | 6.6 GB | High | S86 |
Q8_0 | 8 | 8.6 GB | Very High | S88 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | S90 |
| Qwen 3.6 27B | 27B | S | 47.1 tok/s |
| Qwen3-VL 30B A3B Instruct | 30B | S | 111.9 tok/s |
| Qwen 3.5 9B | 9B | S | 126 tok/s |