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NVIDIA GPU

NVIDIA GeForce RTX 4060

The NVIDIA GeForce RTX 4060 has 8GB of VRAM and 272 GB/s of memory bandwidth. Its sweet spot tops out around Qwen3-8B — the largest model that loads cleanly at a quality quant with llama.cpp at 8K context.

VRAM
8 GB
Memory bandwidth
272 GB/s
TDP
115 W
MSRP
$299
Backends
CUDA · Vulkan

Also good for gaming — 1080p-class (estimated from FP32 compute, not a game benchmark)

Specs as of 2026-07-08 · source

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NVIDIA GeForce RTX 4060 for local AI — common questions

How much VRAM does the NVIDIA GeForce RTX 4060 have?
The NVIDIA GeForce RTX 4060 has 8GB of VRAM with 272 GB/s of memory bandwidth. VRAM sets which models fit; bandwidth sets how fast they feel once they do.
Is the NVIDIA GeForce RTX 4060 good for running AI models locally?
Only for smaller models. 8GB restricts you to compact models, or forces aggressive quantization and CPU offload. The largest model it loads cleanly is Qwen3-8B, at a quality quant with llama.cpp at 8K context.
What runtimes work with the NVIDIA GeForce RTX 4060?
It runs on CUDA · Vulkan, which covers Ollama, llama.cpp and LM Studio. Runtime choice affects speed and features, not whether a model fits.

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What an NVIDIA GeForce RTX 4060 can run

Every model we track, graded at its best clean-fit quant. Click any verdict for the full breakdown.

ModelBest-quant verdict · llama.cpp · 8K context
Qwen3-8BFits · B · Q4_K_Minteractive
gemma-4-26B-A4B-itTight · C · MXFP4_MOEinteractive · offloadbeta
Qwen2.5-7B-InstructFits · B · Q5_K_Minteractive
Qwen2.5-1.5B-InstructFits · A · Q8_0interactive
Llama-3.2-1B-InstructFits · A · Q8_0interactive
Llama-3.1-8B-InstructFits · B · Q4_K_Minteractive
DeepSeek-R1Won't fitbeta
Qwen3.5-9BTight · C · Q4_K_Minteractivebeta
gpt-oss-20bTight · C · MXFP4interactive · offloadbeta
Qwen3.6-35B-A3BTight · C · MXFP4_MOEinteractive · offloadbeta
Qwen2.5-3B-InstructFits · A · Q8_0interactive
Qwen3-32BTight · C · Q4_K_Mpainful · offloadbeta
Qwen3.6-27BTight · C · Q4_K_Mpainful · offloadbeta
Qwen2.5-0.5B-InstructFits · A · Q8_0interactive
Mistral-7B-Instruct-v0.3Fits · B · Q5_K_Minteractive
gpt-oss-120bWon't fitbeta
Qwen3-14BTight · C · Q4_K_Musable · offloadbeta
Qwen3-30B-A3BTight · C · Q4_K_Minteractive · offloadbeta
Qwen2.5-32B-InstructTight · C · Q4_K_Mpainful · offloadbeta
DeepSeek-V4-FlashWon't fitbeta
Qwen2.5-14B-InstructTight · C · Q4_K_Musable · offloadbeta
Llama-3.2-3B-InstructFits · A · Q8_0interactive
gemma-3-4b-itFits · B · Q8_0interactivebeta
gemma-3-12b-itTight · C · Q4_K_Musable · offloadbeta
Llama-3.1-70B-InstructTight · C · Q4_K_Mpainful · offloadbeta
Phi-3.5-mini-instructFits · B · Q5_K_Minteractive
Phi-4Tight · C · Q4_K_Musable · offloadbeta
DeepSeek-R1-Distill-Qwen-32BTight · C · Q4_K_Mpainful · offloadbeta
gemma-3-27b-itTight · C · Q4_K_Mpainful · offloadbeta
Llama-3.3-70B-InstructTight · C · Q4_K_Mpainful · offloadbeta
Qwen2.5-72B-InstructTight · C · Q4_K_Mpainful · offloadbeta
gemma-2-2b-itFits · A · Q8_0interactivebeta
DeepSeek-R1-Distill-Qwen-14BTight · C · Q4_K_Musable · offloadbeta
DeepSeek-R1-Distill-Llama-8BFits · B · Q4_K_Minteractive
DeepSeek-R1-Distill-Qwen-7BFits · B · Q5_K_Minteractive
gemma-2-9b-itTight · C · Q4_K_Musable · offloadbeta
Mistral-Nemo-Instruct-2407Tight · C · Q4_K_Musable · offloadbeta
QwQ-32BTight · C · Q4_K_Mpainful · offloadbeta
Mistral-Small-24B-Instruct-2501Tight · C · Q4_K_Mpainful · offloadbeta
gemma-2-27b-itTight · C · Q4_K_Mpainful · offloadbeta

Compare NVIDIA GeForce RTX 4060

Have a specific model in mind? Check it against the NVIDIA GeForce RTX 4060 at your own quant and context length.

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Verdicts computed from published specs and measured GGUF sizes — how the math works.