RTX 5060 Ti 16GB for local LLMs
5 measured results from 2 builds, each linked to its source.
| Memory | 16 GB per card |
|---|---|
| Memory bandwidth | not listed |
| Typical EU price | ≈€739 new (Asus Dual GeForce RTX 5060 Ti OC 16 GB GDDR7, billiger.de, 2026-10-16) |
Can it run? gpt-oss 20B on RTX 5060 Ti 16GB
All builds with the RTX 5060 Ti 16GB
| Build | GPU(s) | Memory GB (total) | Results |
|---|---|---|---|
| i7-12700K + RTX 5060 Ti 16GB + RTX 3060 12GB: Qwen3.8 27B from 21 to 51 tok/s (split, MTP, single-GPU) | RTX 5060 Ti 16GB + RTX 3060 12GB | 28 | 4 |
| Single RTX 5060 Ti 16GB | RTX 5060 Ti 16GB | 16 | 1 |
All measured results
(MTP, DFlash, DSpark and similar draft-and-verify methods give much higher tok/s on predictable text and are not comparable 1:1 with plain decode)
| Model | Build | Ran on | Quant | Engine | tok/s | Details |
|---|---|---|---|---|---|---|
| Qwen3.8 27B | i7-12700K + RTX 5060 Ti 16GB + RTX 3060 12GB: Qwen3.8 27B from 21 to 51 tok/s (split, MTP, single-GPU) | mixed / see build | UD-IQ4_XS on the 5060 Ti + MTP draft on the 3060 (n_max=2) | llama.cpp master (Oct 2026) | 51.4 | ⚡ spec-decode (MTP) |
| Qwen3.8 27B | i7-12700K + RTX 5060 Ti 16GB + RTX 3060 12GB: Qwen3.8 27B from 21 to 51 tok/s (split, MTP, single-GPU) | mixed / see build | Q4_K_M, split + MTP draft (n_max=2) | llama.cpp master (Oct 2026) | 37.6 | ⚡ spec-decode (MTP) |
| Qwen3.8 27B | i7-12700K + RTX 5060 Ti 16GB + RTX 3060 12GB: Qwen3.8 27B from 21 to 51 tok/s (split, MTP, single-GPU) | mixed / see build | UD-IQ4_XS on the 5060 Ti alone, 8K ctx, q8 KV | llama.cpp master (Oct 2026) | 28.0 | |
| Qwen3.8 27B | i7-12700K + RTX 5060 Ti 16GB + RTX 3060 12GB: Qwen3.8 27B from 21 to 51 tok/s (split, MTP, single-GPU) | mixed / see build | Q4_K_M, layer split 5/3 across both GPUs | llama.cpp (May 2026 build) | 21.2 | |
| gpt-oss 20B | Single RTX 5060 Ti 16GB | RTX 5060 Ti 16GB | MXFP4 | llama.cpp | 111.51 |
All RTX 5060 Ti 16GB builds: see also all GPUs · best LLMs by memory size · download the dataset.
FAQ
How fast is the RTX 5060 Ti 16GB for local LLMs?
The fastest plain-decode result we have is 111.51 tok/s on gpt-oss 20B (MXFP4, llama.cpp) in Single RTX 5060 Ti 16GB. Speed depends heavily on the model, quant and engine, so compare like with like in the table. RigBase lists 5 measured results from 2 builds.
How much memory does the RTX 5060 Ti 16GB have?
16 GB per card.
Which models have been measured on the RTX 5060 Ti 16GB?
Qwen3.8 27B, gpt-oss 20B.
Where do these numbers come from?
Every row links to a build page with its original public source (benchmark logs, READMEs, forum posts). RigBase does not re-run the benchmarks. Results marked ⚡ use speculative decoding and are not comparable 1:1 with plain decode.
Referral link: if you sign up with Google and add $10, Runpod gives you and RigBase bonus credit (terms). It never affects our data.