What AI models can NVIDIA GeForce RTX 5060 Ti 16GB run?

The NVIDIA GeForce RTX 5060 Ti 16GB can run 35 AI models. Top performers include Llama 3.2 1B Instruct, Gemma 4 26B-A4B, Llama 3.2 3B Instruct. See the full compatibility table above for speeds and quality ratings.

Is NVIDIA GeForce RTX 5060 Ti 16GB good for AI coding?

Yes. With 16 GB, the NVIDIA GeForce RTX 5060 Ti 16GB handles single-model coding workflows well at the Capable tier.

How much VRAM does NVIDIA GeForce RTX 5060 Ti 16GB have?

The NVIDIA GeForce RTX 5060 Ti 16GB has 16 GB of GDDR7 VRAM with 448 GB/s bandwidth.

Can NVIDIA GeForce RTX 5060 Ti 16GB run 70B models?

70B models can run on the NVIDIA GeForce RTX 5060 Ti 16GB with CPU offloading, but performance will be reduced. Consider a GPU with 48GB+ VRAM for full-speed 70B inference.

Is NVIDIA GeForce RTX 5060 Ti 16GB worth it for AI?

At $429, the NVIDIA GeForce RTX 5060 Ti 16GB offers 16 GB VRAM and runs 35 AI models. It works for smaller models and experimentation.

Build My Rig

Desktop GPU

NVIDIA GeForce RTX 5060 Ti 16GB

16 GB GDDR7 · 448 GB/s

From

$429

Estimated street price

VRAM

16 GB

Bandwidth

448 GB/s

TDP

180W

Models

Tier

Capable

The NVIDIA GeForce RTX 5060 Ti 16GB with 16 GB GDDR7 VRAM can handle 35 AI models across coding, ai_coding, ai_building. Best performance: Llama 3.2 1B Instruct at 134 tok/s (excellent). For AI coding workflows, it supports the Capable AI Coding tier, handling single model workflows well. Current price: approximately $429.

Source: OwnRig methodology

VRAM

16 GB

Bandwidth

448 GB/s

Memory Type

GDDR7

TDP

180W

Form Factor

2-slot, 241mm

Builder Capability: Capable AI Coding

Runs 16-22B coding models comfortably, or 32B at reduced quality. Handles single model workflows well.

Software

Inference Backends

The software stacks that matter most for real-world inference on this device.

CUDA

production

Primary high-performance backend for NVIDIA inference workloads.

Vulkan

stable

Fallback backend for llama.cpp and related local runtimes.

What it can run

35 models


Arcee Trinity Mini 26B	Q3_K_M	30 tok/s	Good
Arcee Trinity Nano 6B	Q8_0	57 tok/s	Excellent
Codestral 22B	Q3_K_M	20 tok/s	Acceptable
DeepSeek Coder V2 Lite 16B	Q5_K_M	56 tok/s	Excellent
DeepSeek V3	Q2_K	–	Not viable
FLUX.1 Dev	Q4_K_M	–	Acceptable
Gemma 2 27B Instruct	Q4_K_M	13 tok/s	Acceptable
Gemma 3 12B	Q5_K_M	47 tok/s	Good
Gemma 3 27B	Q3_K_M	7 tok/s	Marginal
Gemma 4 26B-A4B	Q3_K_M	110 tok/s	Excellent
Gemma 4 31B	Q3_K_M	7 tok/s	Marginal
Gemma 4 E2B	Q8_0	48 tok/s	Good
Gemma 4 E4B	Q8_0	29 tok/s	Acceptable
GigaChat Lightning 10B	Q8_0	62 tok/s	Acceptable
Llama 3.1 8B Instruct	Q8_0	62 tok/s	Excellent
Llama 3.2 11B Vision	Q6_K	43 tok/s	Good
Llama 3.2 1B Instruct	Q8_0	134 tok/s	Excellent
Llama 3.2 3B Instruct	Q8_0	84 tok/s	Excellent
LLaVA 1.6 13B	Q4_K_M	25 tok/s	Good
NVIDIA Nemotron-3-super-120B-A12B	Q2_K	–	Not viable
Phi-3 Medium 14B Instruct	Q5_K_M	31 tok/s	Good
Phi-4 14B	Q4_K_M	31 tok/s	Good
Phi-4 Mini	Q8_0	76 tok/s	Excellent
Qwen 2.5 14B Instruct	Q4_K_M	34 tok/s	Good
Qwen 2.5 Coder 32B Instruct	Q3_K_M	11 tok/s	Acceptable
Qwen 2.5 Coder 7B Instruct	Q5_K_M	58 tok/s	Excellent
Qwen3-14B Instruct	Q8_0	18 tok/s	Acceptable
Qwen3.5-122B-A10B	Q3_K_M	–	Not viable
Qwen3.5-27B	Q3_K_M	28 tok/s	Acceptable
Qwen3.5-397B (MoE)	Q2_K	–	Not viable
Qwen3.6-27B	Q3_K_M	28 tok/s	Acceptable
Stable Diffusion 3 Medium	FP16	–	Good
Stable Diffusion 3.5 Large	FP16	–	Good
StarCoder 2 15B	Q5_K_M	28 tok/s	Good
Whisper Large V3 Turbo	FP16	–	Excellent

Showing 35 of 35 entries

Buy Used

Prices and availability vary. Inspect hardware before purchasing. Some links may be affiliate links.

eBay Marketplace r/hardwareswap

FAQ

Frequently Asked Questions

What AI models can NVIDIA GeForce RTX 5060 Ti 16GB run?: The NVIDIA GeForce RTX 5060 Ti 16GB can run 35 AI models. Top performers include Llama 3.2 1B Instruct, Gemma 4 26B-A4B, Llama 3.2 3B Instruct. See the full compatibility table above for speeds and quality ratings.
Is NVIDIA GeForce RTX 5060 Ti 16GB good for AI coding?: Yes. With 16 GB, the NVIDIA GeForce RTX 5060 Ti 16GB handles single-model coding workflows well at the Capable tier.
How much VRAM does NVIDIA GeForce RTX 5060 Ti 16GB have?: The NVIDIA GeForce RTX 5060 Ti 16GB has 16 GB of GDDR7 VRAM with 448 GB/s bandwidth.
Can NVIDIA GeForce RTX 5060 Ti 16GB run 70B models?: 70B models can run on the NVIDIA GeForce RTX 5060 Ti 16GB with CPU offloading, but performance will be reduced. Consider a GPU with 48GB+ VRAM for full-speed 70B inference.
Is NVIDIA GeForce RTX 5060 Ti 16GB worth it for AI?: At $429, the NVIDIA GeForce RTX 5060 Ti 16GB offers 16 GB VRAM and runs 35 AI models. It works for smaller models and experimentation.

Own this GPU?

See every AI model it supports, expected performance, and how to build around it.

Check my rig

Related Guides

Buying Guide

RX 9060 XT vs RTX 5060: which budget GPU wins for local AI?

Same $299 entry point, different ecosystems. We compare VRAM tiers, memory bandwidth, model counts from our compatibility matrix, and when AMD ROCm is worth the friction.

All GPUs

Desktop GPU

NVIDIA GeForce RTX 5060 Ti 16GB

16 GB GDDR7 · 448 GB/s

From

$429

Estimated street price

VRAM

16 GB

Bandwidth

448 GB/s

TDP

180W

Models

Tier

Capable

Source: OwnRig methodology

VRAM

16 GB

Bandwidth

448 GB/s

Memory Type

GDDR7

TDP

180W

Form Factor

2-slot, 241mm

Builder Capability: Capable AI Coding

Runs 16-22B coding models comfortably, or 32B at reduced quality. Handles single model workflows well.

Software

Inference Backends

The software stacks that matter most for real-world inference on this device.

CUDA

production

Primary high-performance backend for NVIDIA inference workloads.

Vulkan

stable

Fallback backend for llama.cpp and related local runtimes.

What it can run

35 models


Arcee Trinity Mini 26B	Q3_K_M	30 tok/s	Good
Arcee Trinity Nano 6B	Q8_0	57 tok/s	Excellent
Codestral 22B	Q3_K_M	20 tok/s	Acceptable
DeepSeek Coder V2 Lite 16B	Q5_K_M	56 tok/s	Excellent
DeepSeek V3	Q2_K	–	Not viable
FLUX.1 Dev	Q4_K_M	–	Acceptable
Gemma 2 27B Instruct	Q4_K_M	13 tok/s	Acceptable
Gemma 3 12B	Q5_K_M	47 tok/s	Good
Gemma 3 27B	Q3_K_M	7 tok/s	Marginal
Gemma 4 26B-A4B	Q3_K_M	110 tok/s	Excellent
Gemma 4 31B	Q3_K_M	7 tok/s	Marginal
Gemma 4 E2B	Q8_0	48 tok/s	Good
Gemma 4 E4B	Q8_0	29 tok/s	Acceptable
GigaChat Lightning 10B	Q8_0	62 tok/s	Acceptable
Llama 3.1 8B Instruct	Q8_0	62 tok/s	Excellent
Llama 3.2 11B Vision	Q6_K	43 tok/s	Good
Llama 3.2 1B Instruct	Q8_0	134 tok/s	Excellent
Llama 3.2 3B Instruct	Q8_0	84 tok/s	Excellent
LLaVA 1.6 13B	Q4_K_M	25 tok/s	Good
NVIDIA Nemotron-3-super-120B-A12B	Q2_K	–	Not viable
Phi-3 Medium 14B Instruct	Q5_K_M	31 tok/s	Good
Phi-4 14B	Q4_K_M	31 tok/s	Good
Phi-4 Mini	Q8_0	76 tok/s	Excellent
Qwen 2.5 14B Instruct	Q4_K_M	34 tok/s	Good
Qwen 2.5 Coder 32B Instruct	Q3_K_M	11 tok/s	Acceptable
Qwen 2.5 Coder 7B Instruct	Q5_K_M	58 tok/s	Excellent
Qwen3-14B Instruct	Q8_0	18 tok/s	Acceptable
Qwen3.5-122B-A10B	Q3_K_M	–	Not viable
Qwen3.5-27B	Q3_K_M	28 tok/s	Acceptable
Qwen3.5-397B (MoE)	Q2_K	–	Not viable
Qwen3.6-27B	Q3_K_M	28 tok/s	Acceptable
Stable Diffusion 3 Medium	FP16	–	Good
Stable Diffusion 3.5 Large	FP16	–	Good
StarCoder 2 15B	Q5_K_M	28 tok/s	Good
Whisper Large V3 Turbo	FP16	–	Excellent

Showing 35 of 35 entries

Buy Used

Prices and availability vary. Inspect hardware before purchasing. Some links may be affiliate links.

eBay Marketplace r/hardwareswap

FAQ

Frequently Asked Questions

What AI models can NVIDIA GeForce RTX 5060 Ti 16GB run?: The NVIDIA GeForce RTX 5060 Ti 16GB can run 35 AI models. Top performers include Llama 3.2 1B Instruct, Gemma 4 26B-A4B, Llama 3.2 3B Instruct. See the full compatibility table above for speeds and quality ratings.
Is NVIDIA GeForce RTX 5060 Ti 16GB good for AI coding?: Yes. With 16 GB, the NVIDIA GeForce RTX 5060 Ti 16GB handles single-model coding workflows well at the Capable tier.
How much VRAM does NVIDIA GeForce RTX 5060 Ti 16GB have?: The NVIDIA GeForce RTX 5060 Ti 16GB has 16 GB of GDDR7 VRAM with 448 GB/s bandwidth.
Can NVIDIA GeForce RTX 5060 Ti 16GB run 70B models?: 70B models can run on the NVIDIA GeForce RTX 5060 Ti 16GB with CPU offloading, but performance will be reduced. Consider a GPU with 48GB+ VRAM for full-speed 70B inference.
Is NVIDIA GeForce RTX 5060 Ti 16GB worth it for AI?: At $429, the NVIDIA GeForce RTX 5060 Ti 16GB offers 16 GB VRAM and runs 35 AI models. It works for smaller models and experimentation.

Own this GPU?

See every AI model it supports, expected performance, and how to build around it.

Check my rig

Related Guides

Buying Guide

RX 9060 XT vs RTX 5060: which budget GPU wins for local AI?

Same $299 entry point, different ecosystems. We compare VRAM tiers, memory bandwidth, model counts from our compatibility matrix, and when AMD ROCm is worth the friction.

All GPUs