The 5060 Ti 16GB is the cheapest 16GB card in the 2026 local LLM market. On Windows, OS+driver eat about 1GB, so the practical weight budget is 13–14.5GB (with KV reduced to q4_0 and a shortened context). All sizes in the table below were measured today from live Hugging Face files.
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| Model | Build | Weights | Speed | Source/notes |
|---|---|---|---|---|
| Qwen3.6-35B-A3B | IQ3_XXS | 13.2 GB | 47~51 tok/s (measured at 160K context) | njannasch.dev measured — 15,847MiB used including KV q4_0 962MiB |
| Qwen3-Coder-30B-A3B | Q3_K_M | 14.7 GB | 30B-class #1 recommendation | r/LocalLLaMA 5060 Ti thread — ’30B still wins’ |
| gpt-oss-20b | Q4_K_M | 11.6 GB | 242.8 tok/s on the 5080 (upstream GGUF) | techfuelhq measured — the 5060 Ti is lower than this |
| Qwen3.5-9B | Q4_K_M | 6.8 GB | estimated 40~51 tok/s | noted: modelfit.io estimate 51 tok/s for 8B class |
| Llama-3.1-8B | Q8_0 | 8.5 GB | estimated ~50 tok/s | modelfit.io — 8B-class 51 tok/s |
| Phi-4 | Q6_K | 12.0 GB | Est. ~30 tok/s | One bit above modelfit.io’s 14B Q4 32 tok/s baseline |
| DeepSeek-R1-Distill-8B | Q4_K_M | 4.9 GB | Est. 45~55 tok/s | Based on 8B dense |
| Mistral-Small-3.2-24B | Q3_K_M | 11.5 GB | Not measured | 14GB line including KV — fits, but just barely |
| Gemma 4 26B-A4B QAT | UD-Q4_K_XL | 14.2 GB | Unmeasured — the most likely new entrant | QAT, so top-tier 4-bit quality — KV q8 essential |
What doesn’t fit
- Qwen3.8-27B Q4_K_M 16.5GB — over capacity on weights alone. With two cards (5060 Ti ×2) there are reports of 130 tok/s measured (r/LocalLLaMA).
- Muse-Glimmer-30B Q4_K_M 16.8GB, Laguna-XS-2.1 Q4_K_M 19.6GB — 24GB-card territory.
- Dense 30B or above — only MoE (A3B-class) is realistic.
Runtime choice
Public benchmarks on the same card: llama.cpp 77.0 / LM Studio 76.8 / Ollama 69.1 tok/s (Qwen2.5-Coder-7B Q4, inventivehq). LM Studio for GUI, Ollama for an API service — but Ollama has a context-slider default trap —3-way runtime comparisonNote. One batch/KV setting change outweighs swapping models.
Longer recipe list in the community-accumulated repoclub-5060tiis here. The laptop 5060 Ti (lower TGP) isLaptop GPU TGP guidefirst. The VRAM calculation formula isVRAM guide by use.
Written 2026-09-28 · file sizes measured from live Hugging Face listings · speeds only from sourced public measurements and my own · no local runs ·View the full hub · Quantization ladder, 104 builds · Generation-speed chart, 47 models
