Buyer comparison / 8 GB vs 16 GB

RTX 5060 Ti 8GB vs 16GB: VRAM changes the local-LLM answer.

Q: Should I buy the RTX 5060 Ti 8GB or 16GB for local LLMs?

Choose the 16GB variant if local LLM capacity matters. Under this page's reserve, it provides a 14.4 GiB planning budget instead of 7.2 GiB, changing both the model-size and context-window ceiling. Speed still needs workload-specific testing.

Q: Can the RTX 5060 Ti 8GB run Qwen3 8B?

The INT4 one-sequence plan reaches 5.26 GiB at 4K and 5.93 GiB at 8K, which fit the 7.2 GiB budget. It reaches 7.28 GiB at 16K and 9.98 GiB at 32K, which exceed this page's default 8GB budget.

Q: Can the RTX 5060 Ti 16GB run Qwen3 14B?

The INT4 32K profile reaches 14.27 GiB, only 0.13 GiB below the 14.4 GiB planning budget. That is a paper fit with very little margin, not a deployment promise.

Q: How do I verify whether an RTX 5060 Ti has 8GB or 16GB?

Check the exact product listing before purchase and verify installed dedicated GPU memory in the NVIDIA app, operating-system GPU panel, or a hardware-information utility. Do not infer capacity from the RTX 5060 Ti name alone.

NVIDIA lists both variants with GDDR7 memory. The 16GB card doubles the usable planning budget, moving Qwen3 8B at 32K from a miss to a fit and opening narrow 14B and gpt-oss-20b lanes.

Compare your exact model →

Fast verdict

For local LLMs, the 16GB variant buys headroom.

8GB variant
7.2 GiB usable · 6 GiB weights

16GB variant
14.4 GiB usable · 12 GiB weights

Same family
RTX 5060 Ti · GDDR7

Decision rule
Choose from model + context

Exact boundary checks

What the extra 8GB changes.

Every scenario opens in the calculator with model architecture, context, reserve, and headroom prefilled. A narrow paper fit still needs validation in the intended runtime.

Qwen3 8B · INT4 · 4K · 8GB5.26 GiBFits the 7.2 GiB budget → Qwen3 8B · INT4 · 8K · 8GB5.93 GiBFits the 7.2 GiB budget → Qwen3 8B · INT4 · 16K · 8GB7.28 GiBNarrow miss on the 8GB variant → Qwen3 8B · INT4 · 32K · 16GB9.98 GiBFits the 14.4 GiB budget → Qwen3 14B · INT4 · 32K · 16GB14.27 GiBPaper fit with 0.13 GiB margin → gpt-oss-20b · MXFP4 · 4K · 16GB14.29 GiBPaper fit with 0.11 GiB margin →

Variant decision

The GPU name does not tell you the memory.

NVIDIA documents both 16GB and 8GB RTX 5060 Ti variants. Confirm the exact card before purchase and check installed dedicated GPU memory before planning a model.

Profile	8GB variant	16GB variant
Usable planning budget	7.2 GiB	14.4 GiB
Qwen3 8B INT4 · 16K	7.28 GiB · miss	7.28 GiB · fit
Qwen3 8B INT4 · 32K	9.98 GiB · miss	9.98 GiB · fit
Qwen3 14B INT4 · 32K	14.27 GiB · miss	14.27 GiB · paper fit

Buy the workload, not the label

Context consumes VRAM.
An 8B model can fit at short context and miss when its KV cache grows.

Sixteen is not unlimited.
The 14B and gpt-oss-20b examples are within 0.13 GiB of the default ceiling.

Fit is not speed.
Benchmark the exact model, runtime, quantization, context, batch, and power profile.

Primary source

Verify the variant before trusting the plan.

NVIDIA lists the RTX 5060 Ti with 16GB or 8GB of GDDR7 on a 128-bit memory interface. The capacity calculations here reserve ten percent of installed VRAM and keep model assumptions editable.

Official NVIDIA RTX 5060 family specifications → Inspect the detailed 8GB boundary → Inspect the detailed 16GB boundary →

Should I buy the RTX 5060 Ti 8GB or 16GB for local LLMs?

Choose 16GB when local-LLM capacity matters. The 14.4 GiB planning budget changes both the model and context ceiling compared with the 8GB card's 7.2 GiB.

Can the RTX 5060 Ti 8GB run Qwen3 8B?

The 4K and 8K INT4 plans fit. The fully resident 16K and 32K profiles exceed this page's default 7.2 GiB usable-memory budget.

Can the RTX 5060 Ti 16GB run Qwen3 14B?

The 32K INT4 plan reaches 14.27 GiB, only 0.13 GiB below the default ceiling. Treat it as a paper fit and validate the runtime.

How do I verify whether an RTX 5060 Ti has 8GB or 16GB?

Check the exact product listing, then verify dedicated GPU memory in the NVIDIA app, operating-system GPU panel, or a hardware-information utility.