NVIDIA · Blackwell

What runs on a RTX 5060 Ti 16GB

16 GB at 448 GB/s. The largest model that fits at Q4_K_M is gpt-oss 20B-A3.6B, at roughly 102 tokens per second.

Runs comfortably

6.4 GB of 14.2 GB · 45%
014 GB
Weights 4.6 GB
KV cache 1.0 GB
Runtime overhead 0.8 GB

Llama 3.1 8B at Q4_K_M leaves 7.8 GB spare on a RTX 5060 Ti 16GB. There is room to raise the context length or move up a quantisation level.

Generation57.3tok/s
Prompt processing1229tok/s
Max context70Ktokens
KV per 1K tokens0GB

Every quantisation of Llama 3.1 8B on a RTX 5060 Ti 16GB

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 15.0 GB 16.8 GB Won't fit 8.98
INT8 / W8A8 8.50 7.7 GB 9.5 GB Runs comfortably 46K 35.8
Q8_0 (GGUF) 8.50 7.7 GB 9.5 GB Runs comfortably 46K 35.8
FP8 (E4M3) 8.00 7.5 GB 9.3 GB Runs comfortably 48K 36.9
Q6_K 6.56 6.1 GB 8.0 GB Runs comfortably 58K 44.3
AWQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 64K 49.6
GPTQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 64K 49.6
MXFP4 4.25 5.4 GB 7.2 GB Runs comfortably 64K 49.6
Q5_K_M 5.67 5.3 GB 7.1 GB Runs comfortably 65K 50.6
Q5_K_S 5.52 5.2 GB 7.0 GB Runs comfortably 66K 51.8
Q4_K_M 4.85 4.6 GB 6.4 GB Runs comfortably 70K 57.3
Q4_K_S 4.58 4.4 GB 6.2 GB Runs comfortably 72K 59.8
Q4_0 4.55 4.4 GB 6.2 GB Runs comfortably 72K 60.1
IQ4_XS 4.25 4.1 GB 5.9 GB Runs comfortably 74K 63.2
Q3_K_M 3.91 3.8 GB 5.7 GB Runs comfortably 77K 67.2
IQ3_M 3.70 3.7 GB 5.5 GB Runs comfortably 78K 69.9
IQ3_XXS 3.06 3.2 GB 5.0 GB Runs comfortably 82K 79.7
Q2_K 2.63 2.8 GB 4.6 GB Runs comfortably 85K 88.0
IQ2_XXS 2.06 2.3 GB 4.2 GB Runs comfortably 89K 102
IQ1_M 1.75 2.1 GB 3.9 GB Runs comfortably 91K 112

Models on a RTX 5060 Ti 16GB

Q4_K_M at 8K context. Bandwidth sets the speed; capacity sets the ceiling.

ModelParamsWeightsVerdictMax ctxtok/s
DeepSeek-R1 671B-A37B 671B 379.0 GB Won't fit 2.03
Qwen3 235B-A22B 235.1B 132.8 GB Won't fit 3.34
gpt-oss 120B-A5.1B 116.8B 66.0 GB Won't fit 15.5
Llama 4 Scout 109B-A17B 109B 61.7 GB Won't fit 4.81
Qwen2.5 72B 72.7B 41.2 GB Won't fit 1.28
Llama 3.1 70B 70.5B 40.0 GB Won't fit 1.32
Mixtral 8x7B 46.7B 26.4 GB Won't fit 8.84
Command R 35B 35.0B 20.1 GB Won't fit 1.93
Yi-1.5 34B 34.4B 19.5 GB Won't fit 4.13
Qwen3 32B 32.8B 18.6 GB Won't fit 4.50
Qwen2.5-Coder 32B 32.8B 18.6 GB Won't fit 4.50
DeepSeek-R1-Distill-Qwen 32B 32.8B 18.6 GB Won't fit 4.50
Qwen3 30B-A3B 30.5B 17.3 GB Won't fit 39.8
Gemma 3 27B 27.4B 15.6 GB Won't fit 7.67
Mistral Small 24B 23.6B 13.4 GB Won't fit 13.1
gpt-oss 20B-A3.6B 20.9B 11.9 GB Fits, but tight 33K 102
Qwen3 14B 14.8B 8.5 GB Runs comfortably 32K 32.4
Phi-4 14B 14.7B 8.4 GB Runs comfortably 16K 32.1
Mistral NeMo 12B 12.3B 7.0 GB Runs comfortably 41K 38.4
Gemma 3 12B 12.2B 7.0 GB Runs comfortably 98K 38.9
GLM-4 9B 9.4B 5.4 GB Runs comfortably 128K 52.6
Qwen3 8B 8.2B 4.7 GB Runs comfortably 62K 55.4
Llama 3.1 8B 8.0B 4.6 GB Runs comfortably 70K 57.3
DeepSeek-R1-Distill-Llama 8B 8.0B 4.6 GB Runs comfortably 70K 57.3
Qwen2.5 7B 7.6B 4.4 GB Runs comfortably 128K 63.6
Mistral 7B v0.3 7.3B 4.1 GB Runs comfortably 32K 63.4
Gemma 3 4B 4.3B 2.5 GB Runs comfortably 128K 108
Qwen3 4B 4.0B 2.3 GB Runs comfortably 79K 101
Llama 3.2 3B 3.2B 1.8 GB Runs comfortably 106K 127
Llama 3.2 1B 1.2B 0.7 GB Runs comfortably 128K 339

Direct answers