NVIDIA · Ampere

What runs on a RTX 3090 Ti

24 GB at 1008 GB/s. The largest model that fits at Q4_K_M is Qwen3 32B, at roughly 31.8 tokens per second.

Runs comfortably

6.4 GB of 21.8 GB · 30%
022 GB
Weights 4.6 GB
KV cache 1.0 GB
Runtime overhead 0.8 GB

Llama 3.1 8B at Q4_K_M leaves 15.3 GB spare on a RTX 3090 Ti. There is room to raise the context length or move up a quantisation level.

Generation121tok/s
Prompt processing2092tok/s
Max context128Ktokens
KV per 1K tokens0GB

Every quantisation of Llama 3.1 8B on a RTX 3090 Ti

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 Runs comfortably 48K 40.5
INT8 / W8A8 8.50 7.7 GB 9.5 GB Runs comfortably 106K 75.7
Q8_0 (GGUF) 8.50 7.7 GB 9.5 GB Runs comfortably 106K 75.7
FP8 (E4M3) 8.00 7.5 GB 9.3 GB Runs comfortably 108K 77.9
Q6_K 6.56 6.1 GB 8.0 GB Runs comfortably 118K 93.4
AWQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 124K 105
GPTQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 124K 105
MXFP4 4.25 5.4 GB 7.2 GB Runs comfortably 124K 105
Q5_K_M 5.67 5.3 GB 7.1 GB Runs comfortably 125K 107
Q5_K_S 5.52 5.2 GB 7.0 GB Runs comfortably 126K 109
Q4_K_M 4.85 4.6 GB 6.4 GB Runs comfortably 128K 121
Q4_K_S 4.58 4.4 GB 6.2 GB Runs comfortably 128K 126
Q4_0 4.55 4.4 GB 6.2 GB Runs comfortably 128K 126
IQ4_XS 4.25 4.1 GB 5.9 GB Runs comfortably 128K 133
Q3_K_M 3.91 3.8 GB 5.7 GB Runs comfortably 128K 141
IQ3_M 3.70 3.7 GB 5.5 GB Runs comfortably 128K 147
IQ3_XXS 3.06 3.2 GB 5.0 GB Runs comfortably 128K 167
Q2_K 2.63 2.8 GB 4.6 GB Runs comfortably 128K 184
IQ2_XXS 2.06 2.3 GB 4.2 GB Runs comfortably 128K 213
IQ1_M 1.75 2.1 GB 3.9 GB Runs comfortably 128K 232

Models on a RTX 3090 Ti

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 1.96
Qwen3 235B-A22B 235.1B 132.8 GB Won't fit 3.37
gpt-oss 120B-A5.1B 116.8B 66.0 GB Won't fit 17.1
Llama 4 Scout 109B-A17B 109B 61.7 GB Won't fit 5.41
Qwen2.5 72B 72.7B 41.2 GB Won't fit 1.59
Llama 3.1 70B 70.5B 40.0 GB Won't fit 1.67
Mixtral 8x7B 46.7B 26.4 GB Won't fit 16.6
Command R 35B 35.0B 20.1 GB Won't fit 640 3.13
Yi-1.5 34B 34.4B 19.5 GB Won't fit 6K 20.5
Qwen3 32B 32.8B 18.6 GB Fits, but tight 9K 31.8
Qwen2.5-Coder 32B 32.8B 18.6 GB Fits, but tight 9K 31.8
DeepSeek-R1-Distill-Qwen 32B 32.8B 18.6 GB Fits, but tight 9K 31.8
Qwen3 30B-A3B 30.5B 17.3 GB Runs comfortably 39K 121
Gemma 3 27B 27.4B 15.6 GB Runs comfortably 57K 38.1
Mistral Small 24B 23.6B 13.4 GB Runs comfortably 32K 44.5
gpt-oss 20B-A3.6B 20.9B 11.9 GB Runs comfortably 128K 195
Qwen3 14B 14.8B 8.5 GB Runs comfortably 80K 68.3
Phi-4 14B 14.7B 8.4 GB Runs comfortably 16K 67.8
Mistral NeMo 12B 12.3B 7.0 GB Runs comfortably 89K 80.9
Gemma 3 12B 12.2B 7.0 GB Runs comfortably 128K 81.8
GLM-4 9B 9.4B 5.4 GB Runs comfortably 128K 111
Qwen3 8B 8.2B 4.7 GB Runs comfortably 115K 116
Llama 3.1 8B 8.0B 4.6 GB Runs comfortably 128K 121
DeepSeek-R1-Distill-Llama 8B 8.0B 4.6 GB Runs comfortably 128K 121
Qwen2.5 7B 7.6B 4.4 GB Runs comfortably 128K 134
Mistral 7B v0.3 7.3B 4.1 GB Runs comfortably 32K 133
Gemma 3 4B 4.3B 2.5 GB Runs comfortably 128K 225
Qwen3 4B 4.0B 2.3 GB Runs comfortably 128K 210
Llama 3.2 3B 3.2B 1.8 GB Runs comfortably 128K 264
Llama 3.2 1B 1.2B 0.7 GB Runs comfortably 128K 697

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