# Can I run Gemma 3 4B on an RTX 4060 Ti 16GB?

> Yes. Gemma 3 4B at FP16 needs about 10.9 GB; RTX 4060 Ti 16GB has 16.0 GB usable. Estimated tokens/sec and context headroom.

Source: https://whatcanirunai.vercel.app/can-i-run/gemma-3-4b-it/rtx-4060-ti-16gb/

[Home](https://whatcanirunai.vercel.app/) / [Can I run it?](https://whatcanirunai.vercel.app/can-i-run/) / [Gemma 3 4B](https://whatcanirunai.vercel.app/models/gemma-3-4b-it/) / Gemma 3 4B on an RTX 4060 Ti 16GB

**Yes.** Gemma 3 4B at FP16 needs about 10.9 GB, and the GeForce RTX 4060 Ti 16GB has 16.0 GB usable at a \~4k context.

# Can I run Gemma 3 4B on an RTX 4060 Ti 16GB?

Gemma 3 4B at FP16 needs about 10.9 GB, and the GeForce RTX 4060 Ti 16GB has 16.0 GB usable. That figure is 16 GB of VRAM on the spec sheet, of which 16.0 GB is usable for weights and cache, at 288 GB/s memory bandwidth. Google’s small Gemma 3 instruct model, a good low-VRAM option with a different flavor from Llama 3.2 3B. These are estimates from [our formula](https://whatcanirunai.vercel.app/method/), not measured benchmarks.

Quant that fits

FP16 Fits with headroom

Memory needed

10.9 GB at FP16, \~4k context

Usable VRAM

16.0 GB of 16 GB VRAM

Est. tokens/sec

20–28 estimate

[gemma-3-4b-it](https://whatcanirunai.vercel.app/models/gemma-3-4b-it/) · [GeForce RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/hardware/rtx-4060-ti-16gb/) · [Everything this machine runs](https://whatcanirunai.vercel.app/what-can-i-run/rtx-4060-ti-16gb/) · [Q4 vs Q8 vs FP16](https://whatcanirunai.vercel.app/quantization/)

## Memory at each quant

| Quant    | Need vs 16.0 GB | Verdict  |
| -------- | --------------- | -------- |
| Q4\_K\_M | 4.0 GB          | Q4Fits   |
| Q8\_0    | 6.3 GB          | Q8Fits   |
| FP16     | 10.9 GB         | FP16Fits |

## Estimated tokens per second

Estimate: **20–28 tokens/sec** at FP16\. This is a bandwidth-derived range, not a bench. Efficiency is a 60–85% GPU band from [How we calculate](https://whatcanirunai.vercel.app/method/).

## Context headroom

We do not have a published KV config for this model, so the memory need is the \~4k-context estimate only. Use the [VRAM calculator](https://whatcanirunai.vercel.app/vram-calculator/) to explore longer chats.

## What to do instead

* See the [best GPU for this model family](https://whatcanirunai.vercel.app/best-gpu-for/gemma-3/) and the [gemma-3-4b-it model page](https://whatcanirunai.vercel.app/models/gemma-3-4b-it/).

## Other hardware for Gemma 3 4B

* [Gemma 3 4B on an RTX 3060 12GB](https://whatcanirunai.vercel.app/can-i-run/gemma-3-4b-it/rtx-3060-12gb/)Tight
* [Gemma 3 4B on an RTX 3070 Ti](https://whatcanirunai.vercel.app/can-i-run/gemma-3-4b-it/rtx-3070-ti/)Fits
* [Gemma 3 4B on an RTX 4090](https://whatcanirunai.vercel.app/can-i-run/gemma-3-4b-it/rtx-4090/)Fits
* [Gemma 3 4B on an Arc B580](https://whatcanirunai.vercel.app/can-i-run/gemma-3-4b-it/arc-b580/)Tight
* [Gemma 3 4B on a Mac mini 16GB](https://whatcanirunai.vercel.app/can-i-run/gemma-3-4b-it/mac-mini-m6-16/)Tight

## Other models on an RTX 4060 Ti 16GB

* [Qwen3-32B on an RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/can-i-run/qwen3-32b/rtx-4060-ti-16gb/)Won’t fit
* [Qwen3-30B-A3B on an RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/can-i-run/qwen3-30b-a3b/rtx-4060-ti-16gb/)Won’t fit
* [Qwen3.8-27B on an RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/can-i-run/qwen3.8-27b/rtx-4060-ti-16gb/)Won’t fit
* [Gemma 3 27B on an RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/can-i-run/gemma-3-27b-it/rtx-4060-ti-16gb/)Won’t fit
* [Gemma 4 31B on an RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/can-i-run/gemma-4-31b-it/rtx-4060-ti-16gb/)Won’t fit
* [gpt-oss-20b on an RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/can-i-run/gpt-oss-20b/rtx-4060-ti-16gb/)Tight

## Quick answers

Can I run Gemma 3 4B on an RTX 4060 Ti 16GB?

Yes. Gemma 3 4B at FP16 needs about 10.9 GB, and the GeForce RTX 4060 Ti 16GB has 16.0 GB usable.

How much VRAM does Gemma 3 4B need?

About 4.0 GB at Q4\_K\_M, 6.3 GB at Q8\_0 and 10.9 GB at FP16, estimated for a \~4k context.

How fast is Gemma 3 4B on an RTX 4060 Ti 16GB?

Our estimate is 20–28 tokens per second at FP16\. It is not a measured benchmark.

---
Agent guide: https://whatcanirunai.vercel.app/llms.txt · JSON API: https://whatcanirunai.vercel.app/developers/