Can NVIDIA RTX 4060 Ti 16GB run Llama, Qwen & DeepSeek? 264 models that fit
264 of the 396 models in the Spanvero catalog fit NVIDIA RTX 4060 Ti 16GB's 16 GB VRAM (at a sensible quant, 16k context). For each: run it locally ($0 compute + electricity), rent an equivalent GPU ($0 markup, as of 2026-07-02), or pay per-token via your own API key (as of 2026-07-06).
Three honest ways to run each model on NVIDIA RTX 4060 Ti 16GB
Run it locally: $0 in compute — you pay only electricity (~165 W under load on this card). Local is real money, never a fake "$0".
Rent an equivalent GPU: from a $0-markup vendor rate (as of 2026-07-02) — you rent on your own account and pay the vendor directly; we never resell compute.
Skip the box: run the same model through your own API key, paying per million tokens (prices as of 2026-07-06).
What fits NVIDIA RTX 4060 Ti 16GB (16 GB VRAM)
264 of the 396 notable models in the Spanvero catalog fit NVIDIA RTX 4060 Ti 16GB at a sensible quant (context capped at 16k for the estimate). Most capable first:
gpt oss safeguard 20b (openai, 21.5B) — needs ~16 GB at Q4_K_M: run it locally for $0 compute + ~$0.488/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.19/1M via your own API key.
gpt-oss-20b (OpenAI, 21B) — needs ~15 GB at Q4_K_M: run it locally for $0 compute + ~$0.4789/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.08/1M via your own API key.
gpt oss 20b BF16 (unsloth, 20.9B) — needs ~15 GB at Q4_K_M: run it locally for $0 compute + ~$0.4771/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.27/1M via your own API key (size estimate).
NVIDIA Nemotron 3 Nano 30B A3B NVFP4 (nvidia, 18.2B) — needs ~13 GB at Q4_K_M: run it locally for $0 compute + ~$0.4271/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.25/1M via your own API key (size estimate).
Qwen3 30B A3B NVFP4 (RedHatAI, 17.5B) — needs ~13 GB at Q4_K_M: run it locally for $0 compute + ~$0.4139/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.24/1M via your own API key (size estimate).
Qwen3 32B NVFP4 (nvidia, 17.2B) — needs ~15 GB at Q4_K_M: run it locally for $0 compute + ~$0.4082/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.24/1M via your own API key (size estimate).
deepseek moe 16b base (deepseek-ai, 16.4B) — needs ~12 GB at Q4_K_M: run it locally for $0 compute + ~$0.393/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.23/1M via your own API key (size estimate).
deepseek moe 16b chat (deepseek-ai, 16.4B) — needs ~12 GB at Q4_K_M: run it locally for $0 compute + ~$0.393/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.23/1M via your own API key (size estimate).
LLaDA2.0 mini (inclusionAI, 16.3B) — needs ~12 GB at Q4_K_M: run it locally for $0 compute + ~$0.3911/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.23/1M via your own API key (size estimate).
DeepSeek-Coder-V2-Lite Instruct (DeepSeek, 15.7B) — needs ~11 GB at Q4_K_M: run it locally for $0 compute + ~$0.3795/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.23/1M via your own API key (size estimate).
DeepSeek V2 Lite Chat (deepseek-ai, 15.7B) — needs ~15 GB at Q4_K_M: run it locally for $0 compute + ~$0.3795/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.23/1M via your own API key (size estimate).
DeepSeek V2 Lite (deepseek-ai, 15.7B) — needs ~15 GB at Q4_K_M: run it locally for $0 compute + ~$0.3795/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.23/1M via your own API key (size estimate).
Qwen3 30B A3B NVFP4 (nvidia, 15.6B) — needs ~12 GB at Q4_K_M: run it locally for $0 compute + ~$0.3776/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.22/1M via your own API key (size estimate).
Qwen2.5 Coder 14B Instruct (Qwen, 14.8B) — needs ~14 GB at Q4_K_M: run it locally for $0 compute + ~$0.362/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.22/1M via your own API key (size estimate).
Qwen2.5 14B Instruct (Qwen, 14.8B) — needs ~14 GB at Q4_K_M: run it locally for $0 compute + ~$0.362/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.22/1M via your own API key (size estimate).
Qwen3 14B (Qwen, 14.8B) — needs ~13 GB at Q4_K_M: run it locally for $0 compute + ~$0.362/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.17/1M via your own API key.
Qwen2.5 14B Instruct (unsloth, 14.8B) — needs ~14 GB at Q4_K_M: run it locally for $0 compute + ~$0.362/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.22/1M via your own API key (size estimate).
phi 4 quantized.w4a16 (RedHatAI, 14.8B) — needs ~14 GB at Q4_K_M: run it locally for $0 compute + ~$0.362/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.22/1M via your own API key (size estimate).
Qwen3 14B Base (Qwen, 14.8B) — needs ~13 GB at Q4_K_M: run it locally for $0 compute + ~$0.362/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.22/1M via your own API key (size estimate).
HyperCLOVAX SEED Think 14B (naver-hyperclovax, 14.7B) — needs ~13 GB at Q4_K_M: run it locally for $0 compute + ~$0.36/1M in electricity, rent 2× NVIDIA RTX 3060 12GB from $0.12/hr ($0 markup), or ~$0.22/1M via your own API key (size estimate).
Street price $549.00 (as of 2026-07-08; unverified street-price estimate — being sourced) — amortized over 3 years that's ~$0.5014/day whether or not you're generating.
Electricity: ~165 W under sustained inference at $0.1883/kWh (EIA Electric Power Monthly Table 5.6.A — U.S. residential average, Apr 2026, as of 2026-07-02) — the per-1M-token figures above already include this at each model's speed.
Straight talk: for the small models a 16 GB VRAM box runs, hosted APIs are often cheaper per token. Own local for privacy, offline use, and unlimited runs — not to save money on tokens.
Too big for NVIDIA RTX 4060 Ti 16GB — rent or use an API instead
These need more than the 16 GB VRAM on this card. Closest first — you can still run them on a rented GPU ($0 markup) or via your own API key:
gpt neox 20b (EleutherAI, 20.7B) — needs ~17 GB; rent 2× NVIDIA RTX 3060 12GB from $0.12/hr, or ~$0.27/1M via your own API key (size estimate).
Gemma 4 26B A4B NVFP4 (nvidia, 14.4B) — needs ~17 GB; rent 2× NVIDIA RTX 3060 12GB from $0.12/hr, or ~$0.22/1M via your own API key (size estimate).
diffusiongemma 26B A4B it NVFP4 (nvidia, 14.4B) — needs ~17 GB; rent 2× NVIDIA RTX 3060 12GB from $0.12/hr, or ~$0.22/1M via your own API key (size estimate).
LFM2 24B A2B (LiquidAI, 23.8B) — needs ~18 GB; rent 2× NVIDIA RTX 3060 12GB from $0.12/hr, or ~$0.29/1M via your own API key (size estimate).
Gemma 4 26B A4B it NVFP4 (bg-digitalservices, 15.1B) — needs ~18 GB; rent 2× NVIDIA RTX 3060 12GB from $0.12/hr, or ~$0.22/1M via your own API key (size estimate).
Trinity Mini (arcee-ai, 26.1B) — needs ~19 GB; rent 2× NVIDIA RTX 3060 12GB from $0.12/hr, or ~$0.10/1M via your own API key.
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