What local AI models run on 48 GB of VRAM?
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10 of 13 ranked open models fit in 48 GB: 10 with 4 GB or more to spare and 0 tight. The best ranked is Gemma 4 31B (19–20 GB).
| Model | LMArena | Needs | Fit | Pages |
|---|---|---|---|---|
Gemma 4 31BGoogle · Q4_K_M | #76 | 19–20 GB | Fits | Ryzen AI Max+ 395 (64 GB) · Guide · 24–32 GB GPU tier |
Gemma 4 26B-A4B (MoE)Google · default tag | #100 | 16 GB | Fits | Ryzen AI Max+ 395 (64 GB) · 24–32 GB GPU tier |
Qwen3.8 27BAlibaba Qwen · Q4_K_M | #102 | 18 GB | Fits | Ryzen AI Max+ 395 (64 GB) · 24–32 GB GPU tier |
Qwen3.5 27BAlibaba Qwen · Q4_K_M | #155 | 17–20 GB | Fits | Ryzen AI Max+ 395 (64 GB) · Guide · 24–32 GB GPU tier |
Qwen3.5 35B-A3B (MoE)Alibaba Qwen · Q4_K_M | #172 | 22 GB | Fits | Ryzen AI Max+ 395 (64 GB) · Guide · 24–32 GB GPU tier |
Mistral Small 3.2 24BMistral AI · Q4_K_M | #212 | 15 GB | Fits | Ryzen AI Max+ 395 (64 GB) · 16 GB GPU tier |
Llama 3.3 70BMeta · Q4_K_M | #266 | 43 GB | Fits | Ryzen AI Max+ 395 (64 GB) · Guide · Unified 64 GB tier |
gpt-oss 20BOpenAI · MXFP4 (as shipped) | #269 | 14 GB | Fits | Ryzen AI Max+ 395 (64 GB) · Guide · 16 GB GPU tier |
Phi-4 14BMicrosoft · Q4_K_M | #322 | 9.1 GB | Fits | Ryzen AI Max+ 395 (64 GB) · Guide · 8–12 GB GPU tier |
Llama 3.1 8BMeta · Q4_K_M | #345 | 4.9 GB | Fits | Ryzen AI Max+ 395 (64 GB) · Guide · 8–12 GB GPU tier |
Hardware with 48 GB for the GPU
- Can the Ryzen AI Max+ 395 (64 GB) run Gemma 4 31B?
- Can the Ryzen AI Max+ 395 (64 GB) run Gemma 4 26B-A4B (MoE)?
- Can the Ryzen AI Max+ 395 (64 GB) run Qwen3.8 27B?
- Can the Ryzen AI Max+ 395 (64 GB) run Qwen3.5 27B?
- Can the Ryzen AI Max+ 395 (64 GB) run Qwen3.5 35B-A3B (MoE)?
- Can the Ryzen AI Max+ 395 (64 GB) run Mistral Small 3.2 24B?
- Can the Ryzen AI Max+ 395 (64 GB) run Llama 3.3 70B?
- Can the Ryzen AI Max+ 395 (64 GB) run gpt-oss 20B?
- Can the Ryzen AI Max+ 395 (64 GB) run Phi-4 14B?
- Can the Ryzen AI Max+ 395 (64 GB) run Llama 3.1 8B?
Minisforum MS-S1 MAX 64GB / 2TB (Ryzen AI Max+ 395)
$2,599 Minisforum · checked Oct 27, 2026, 12:40 PM CT
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FAQ
What local AI models run on 48 GB of VRAM?
10 of the 13 leaderboard-ranked open models we track fit in 48 GB: Gemma 4 31B (19–20 GB), Gemma 4 26B-A4B (MoE) (16 GB), Qwen3.8 27B (18 GB), Qwen3.5 27B (17–20 GB), Qwen3.5 35B-A3B (MoE) (22 GB), Mistral Small 3.2 24B (15 GB), Llama 3.3 70B (43 GB), gpt-oss 20B (14 GB), Phi-4 14B (9.1 GB), Llama 3.1 8B (4.9 GB). Sizes are Ollama library downloads; all leave 4 GB or more spare (our estimate).
What is the best-ranked local model for 48 GB?
Gemma 4 31B, #76 overall on LMArena Text (checked Oct 27, 2026, 2:16 PM CT), needs 19–20 GB.
What is the largest model that fits in 48 GB?
Llama 3.3 70B at 43 GB (Q4_K_M). The runtime and context need roughly 1–4 GB more, which is our estimate.
Does 48 GB of unified memory count as 48 GB of VRAM?
No. On a Ryzen AI Max+ 395 system AMD says the GPU can use up to 48 GB of a 64 GB system and up to 96 GB of a 128 GB system, so use the GPU share when you read this page.