Can Desktop PC · 2× GeForce RTX 3090 (48 GB) · 128 GB RAM run DeepSeek-V4.1-Flash (748B-A16B)?
48 GB VRAM + 128 GB RAM · 936 GB/s memory bandwidth · DeepSeek-V4.1-Flash (748B-A16B) has 748B parameters (16B active per token).
Short answer
No. It doesn't fit in memory.
Needs ≈428 GB but only ≈163 GB of VRAM + system RAM is available after the OS and other apps.
Why it doesn’t fit
Even its smallest practical version (Q4_K_M) needs about 428 GB for the model, its context memory and the runtime. After Windows (≈8.0 GB), a browser with a few tabs (≈3.0 GB) and Open WebUI (≈1.0 GB), Desktop PC · 2× GeForce RTX 3090 (48 GB) · 128 GB RAM has about 163 GB left, so it’s 265 GB short.
Ways to make it work
Close everything else
Not enough on its own: with every other app closed it’s still about 262 GB short.
Pick a smaller model from the same family
No smaller DeepSeek-V4 model in our catalog runs well here. See the other models below.
Get more memory
You’d want at least 440 GB of VRAM plus RAM in total. The machines below are the cheapest that run it comfortably.
Check your exact setup
These pages assume typical settings. A shorter context or a lighter chat app can change the answer.
Check Desktop PC · 2× GeForce RTX 3090 (48 GB) · 128 GB RAM
The same applies to every workload we rate (chat, coding questions, coding in a repository, agentic coding and long documents): they all need at least as much memory as chat.
Other models for Desktop PC · 2× GeForce RTX 3090 (48 GB) · 128 GB RAM
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B140–230 tok/sExcellent
- Gemma 4 26B-A4B110–180 tok/sExcellent
- Qwen3.5 35B-A3B140–230 tok/sExcellent
- LFM2.5 24B-A2B270–450 tok/sExcellent
- gpt-oss-20b160–270 tok/sExcellent
- GLM-4.7-Flash (30B-A3B)130–220 tok/sExcellent
Cheapest machines for DeepSeek-V4.1-Flash (748B-A16B)
Hardware rated comfortable or better for chat, lowest price first.
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.