RTX 3090 Ti

NVIDIA GeForce RTX 30 (Ampere)

VRAM: 24 GB
Memory bandwidth: 1,008 GB/s
Class: Consumer

Figures assume this GPU plus 32 GB of system RAM (a typical desktop pairing). "What runs on it" is judged at a 8,192-token context. Speeds are estimates, not measurements.

What runs on it

Model	Sweet-spot quant	Est. speed	Community
DeepSeek-R1-Distill-Llama-8B deepseek-ai	Q4_K_M Runs fully on GPU @ 8K ctx	101–135 tok/s (estimate)	no community data
DeepSeek-R1-Distill-Qwen-1.5B deepseek-ai	Q4_K_M Runs fully on GPU @ 8K ctx	447–596 tok/s (estimate)	no community data
DeepSeek-R1-Distill-Qwen-14B deepseek-ai	Q4_K_M Runs fully on GPU @ 8K ctx	57–76 tok/s (estimate)	no community data
DeepSeek-R1-Distill-Qwen-32B deepseek-ai	Q4_K_M Runs fully on GPU @ 8K ctx	27–37 tok/s (estimate)	no community data
DeepSeek-R1-Distill-Qwen-7B deepseek-ai	Q4_K_M Runs fully on GPU @ 8K ctx	117–156 tok/s (estimate)	no community data
Mistral-Small-3.2-24B-Instruct-2506 mistralai	Q4_K_M Runs fully on GPU @ 8K ctx	42–56 tok/s (estimate)	no community data
Qwen2.5-7B-Instruct Qwen	Q4_K_M Runs fully on GPU @ 8K ctx	55–73 tok/s (estimate) pp: 3,791.5 tok/s measured	no community data
Qwen3-30B-A3B-Instruct-2507 Qwen	Q4_K_M Runs fully on GPU @ 8K ctx	213–284 tok/s (estimate)	no community data
Qwen3-32B Qwen	Q4_K_M Runs fully on GPU @ 8K ctx	28–37 tok/s (estimate)	no community data
Qwen3-8B Qwen	Q4_K_M Runs fully on GPU @ 8K ctx	97–129 tok/s (estimate)	no community data
Qwen3-Coder-30B-A3B-Instruct Qwen	Q4_K_M Runs fully on GPU @ 8K ctx	213–284 tok/s (estimate)	no community data
Qwen3.6-27B Qwen	Q4_K_M Runs fully on GPU @ 8K ctx	32–43 tok/s (estimate)	no community data
Qwen3.6-35B-A3B Qwen	Q4_K_M Runs fully on GPU @ 8K ctx	27–35 tok/s (estimate)	no community data
gemma-4-12B-it google	Q4_K_M Runs fully on GPU @ 8K ctx	85–113 tok/s (estimate)	no community data
gemma-4-26B-A4B-it google	Q4_K_M Runs fully on GPU @ 8K ctx	32–43 tok/s (estimate)	no community data
gemma-4-31B-it google	Q4_K_M Runs fully on GPU @ 8K ctx	33–44 tok/s (estimate)	no community data
gemma-4-E2B-it google	Q4_K_M Runs fully on GPU @ 8K ctx	195–260 tok/s (estimate)	no community data
gemma-4-E4B-it google	Q4_K_M Runs fully on GPU @ 8K ctx	122–162 tok/s (estimate)	no community data
gpt-oss-20b openai	F16 Runs fully on GPU @ 8K ctx	174–232 tok/s (estimate)	no community data

"Est. speed" is a modelled range labelled estimate (D8) for generation (decode) throughput. "Community" shows the median of approved user-submitted reports on this GPU class only where enough exist — never an estimate. "pp" is measured prompt-processing (ingestion) throughput from approved community reports; rows without a measurement show none.