What can NVIDIA GeForce RTX 4060 Ti 16GB run for creative?
Build: NVIDIA GeForce RTX 4060 Ti 16GB + — + 32 GB RAM (windows)
Runs comfortably119 models
Ranked by fit for creative use case + predicted speed. Click a row for VRAM breakdown.
Quant: Q4_K_MContext: 8,192VRAM: 11.0 GBHeadroom: 5.0 GBollama run hermes3:8b39tok/sEstimated
ollama run hermes3:8bQuant: Q4_K_MContext: 8,192VRAM: 5.2 GBHeadroom: 10.8 GB103tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 5.2 GBHeadroom: 10.8 GB103tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 4.0 GBHeadroom: 12.0 GB155tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 5.1 GBHeadroom: 10.9 GBollama run gemma4:e2b88tok/sEstimated
ollama run gemma4:e2bQuant: Q4_K_MContext: 8,192VRAM: 3.6 GBHeadroom: 12.4 GB182tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 4.6 GBHeadroom: 11.4 GBollama run alibayram/kumru:latest129tok/sEstimated
ollama run alibayram/kumru:latestQuant: Q4_K_MContext: 8,192VRAM: 4.0 GBHeadroom: 12.0 GB155tok/sEstimated
Quant: Q4_K_MContext: 2,048VRAM: 3.2 GBHeadroom: 12.8 GB155tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 4.4 GBHeadroom: 11.6 GB129tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 4.0 GBHeadroom: 12.0 GB155tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 4.2 GBHeadroom: 11.8 GB138tok/sEstimated
Runs with tradeoffs94 models
Tight VRAM, partial CPU offload, or context-limited.
Quant: Q4_K_MContext: 8,192VRAM: 12.4 GBHeadroom: 3.6 GB- • Tight VRAM fit — only 3.6 GB headroom left for context growth
ollama run gemma2:9b34tok/sEstimated
- • Tight VRAM fit — only 3.6 GB headroom left for context growth
ollama run gemma2:9bQuant: Q4_K_MContext: 2,048VRAM: 12.8 GBHeadroom: 3.2 GB- • Tight VRAM fit — only 3.2 GB headroom left for context growth
129tok/sEstimated
- • Tight VRAM fit — only 3.2 GB headroom left for context growth
Quant: Q4_K_MContext: 4,096VRAM: 15.8 GBHeadroom: 0.2 GB- • Tight VRAM fit — only 0.2 GB headroom left for context growth
129tok/sEstimated
- • Tight VRAM fit — only 0.2 GB headroom left for context growth
Quant: Q4_K_MContext: 2,048VRAM: 13.8 GBHeadroom: 2.2 GB- • Tight VRAM fit — only 2.2 GB headroom left for context growth
129tok/sEstimated
- • Tight VRAM fit — only 2.2 GB headroom left for context growth
Quant: Q4_K_MContext: 2,048VRAM: 13.8 GBHeadroom: 2.2 GB- • Tight VRAM fit — only 2.2 GB headroom left for context growth
103tok/sEstimated
- • Tight VRAM fit — only 2.2 GB headroom left for context growth
Quant: Q4_K_MContext: 8,192VRAM: 12.5 GBHeadroom: 3.5 GB- • Tight VRAM fit — only 3.5 GB headroom left for context growth
ollama run alibayram/turkish-gemma-9b-v0.1:latest34tok/sEstimated
- • Tight VRAM fit — only 3.5 GB headroom left for context growth
ollama run alibayram/turkish-gemma-9b-v0.1:latestQuant: Q4_K_MContext: 8,192VRAM: 28.5 GBHeadroom: 6.7 GB- • Partial CPU offload: ~44% of layers run on CPU
ollama run dolphin-mistral:24b13tok/sEstimated
- • Partial CPU offload: ~44% of layers run on CPU
ollama run dolphin-mistral:24bQuant: Q4_K_MContext: 8,192VRAM: 15.8 GBHeadroom: 0.2 GB- • Tight VRAM fit — only 0.2 GB headroom left for context growth
ollama run gemma4:12b26tok/sEstimated
- • Tight VRAM fit — only 0.2 GB headroom left for context growth
ollama run gemma4:12bWhat if you upgraded?
Hypothetical scenarios. We re-ran the compatibility engine for each.
+32 GB system RAM
~$80–150
Doubles your CPU-offload working set. Helps when models don't quite fit in VRAM.
Unlocks: 23 new comfortable, 112 new tradeoff
- • Qwen 3 0.6B
- • Gemma 3 270M
- • SmolLM2 135M Instruct
- • TinyLlama 1.1B Chat v1.0
Upgrade to NVIDIA RTX 2080 Ti 22GB (China-mod)
~$350
22 GB VRAM (vs your 16 GB) plus a bandwidth jump from ~288 GB/s to ~616 GB/s.
Unlocks: 50 new comfortable
- • Qwen 3 0.6B
- • Gemma 4 12B
- • Qwen3.5 9B
- • Qwen 3 14B
Add a second NVIDIA GeForce RTX 4060 Ti 16GB
~$449
Tensor parallelism splits the model across both cards, effectively doubling VRAM. Bandwidth doesn't double — runs ~1.5× the single-card speed in practice.
Unlocks: 97 new comfortable
- • Qwen 3 0.6B
- • Qwen 3 30B-A3B
- • Qwen 2.5 Coder 32B Instruct
- • Qwen3.6 27B
Some links above are affiliate links. We may earn a commission at no extra cost to you. How we make money.
Won't runtop 5 popular models
Need more memory than you have. Shown for orientation.
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (16 GB) + 60% of system RAM (19 GB) combined.
How to read these numbers
Want a specific benchmark we don't have? Email Contact support and we'll prioritize it.