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RTX 3080 Ti vs RTX 3090 for local AI

RTX 3080 Ti runs 18 of 74 open models well and RTX 3090 runs 35. Here is every model on both, with the grade and the speed you would get.

Runs more models well (grade B or better)

RTX 3090

RTX 3080 Ti: 18 · RTX 3090: 35

Faster on the models both run

About even

Median speed ratio over 18 models both load fully in memory.

Specs that matter

RTX 3080 Ti RTX 3090
Memory compared12 GB24 GB
Memory bandwidth912.4 GB/s936.2 GB/s
Memory typeDedicated VRAMDedicated VRAM
BackendCUDACUDA
Released20212020

Every model on both

Grade and output speed at Q4_K_M with an 8K context; green marks the better of the two.

ModelECIRTX 3080 TiRTX 3090
moonshotKimi K3157F—F—
deepseekDeepSeek V4 Pro 0813155F—F—
deepseekDeepSeek V4.1 Flash155F—F—
deepseekDeepSeek V4 Flash 0731154F—F—
zaiGLM 5.3 Flash152F—F—
zaiGLM 5.2152F—F—
moonshotKimi K2.6151F—F—
tInkling Small150F—F—
moonshotKimi K2.7 Code150F—F—
zaiGLM 5.1150F—F—
qwenQwen3.8 27B149C~7 t/sA~35 t/s
deepseekDeepSeek V4 Pro149F—F—
tInkling149F—F—
moonshotKimi K2.5148F—F—
minimaxMiniMax M3147F—F—
minimaxMiniMax M2.5147F—F—
qwenQwen3.5 397B A17B147F—F—
qwenQwen3.6 27B147C~8 t/sA~36 t/s
deepseekDeepSeek V3.2146F—F—
nvidiaNemotron 3 Ultra 550B A55B146F—F—
deepseekDeepSeek V4 Flash146F—F—
moonshotKimi K2 Thinking146F—F—
minimaxMiniMax M2.7146F—F—
zaiGLM 5146F—F—
deepseekDeepSeek V3.2 Exp145F—F—
qwenQwen3.6 35B A3B144C~49 t/sB~316 t/s
qwenQwen3 235B A22B Thinking 2507144F—F—
zaiGLM 4.7144F—F—
googleGemma 4 31B143C~6 t/sB~31 t/s
qwenQwen3.5 35B A3B143C~50 t/sB~319 t/s
googleGemma 4 26B A4B142C~46 t/sS~219 t/s
mistralMistral Medium 3.5 128B141F—F—
moonshotKimi K2140F—F—
openaigpt-oss 120b140F—F—
deepseekDeepSeek V3.1140F—F—
qwenQwen3 30B A3B Thinking 2507140C~46 t/sS~255 t/s
qwenQwen3.5 9B139S~103 t/sS~105 t/s
qwenQwen3 235B A22B 2507139F—F—
openaigpt-oss 20b138C~218 t/sS~291 t/s
qwenQwen3 30B A3B 2507137C~46 t/sS~255 t/s
mistralMagistral Small 2506133C~10 t/sS~41 t/s
mistralMistral Small 3.2 24B132C~10 t/sS~41 t/s
mistralMagistral Small 2509131C~10 t/sS~41 t/s
microsoftPhi-4 14B130B~61 t/sS~63 t/s
metaLlama 4 Scout 17B 16E130F—F—
metaLlama 3.3 70B127F—D~2 t/s
metaLlama 3.1 8B117S~110 t/sS~112 t/s
cohereCommand A+—F—F—
qwenQwen3.8 Flash Next—F—F—
qwenQwen3.5 122B A10B—F—F—
mistralMistral Small 4 119B—F—F—
qwenQwen3 Coder Next—F—F—
moonshotKimi Linear 48B A3B—C~42 t/sC~105 t/s
ai2Olmo 3.1 32B Think—C~5 t/sB~30 t/s
nvidiaNemotron 3.5 Lightning 30B A3B—C~35 t/sC~167 t/s
zaiGLM 4.7 Flash—C~59 t/sS~310 t/s
cohereNorth Mini Code 1.0—C~50 t/sS~272 t/s
ibmGranite 4.2 30B—C~6 t/sB~32 t/s
mistralDevstral Small 2 24B—C~10 t/sS~41 t/s
mistralMinistral 3 14B—B~67 t/sS~69 t/s
googleGemma 4 12B—S~79 t/sS~82 t/s
mistralMinistral 3 8B—S~104 t/sS~106 t/s
ibmGranite 4.2 8B—S~96 t/sS~99 t/s
googleGemma 4 E4B—S~118 t/sS~121 t/s
ai2Olmo 3 7B—S~90 t/sS~93 t/s
googleGemma 4 E2B—S~190 t/sS~195 t/s
qwenQwen3.5 4B—S~208 t/sS~213 t/s
mistralMinistral 3 3B—S~231 t/sS~237 t/s
ibmGranite 4.2 3B—S~225 t/sS~231 t/s
metaLlama 3.2 3B—S~240 t/sS~246 t/s
huggingfaceSmolLM3 3B—S~270 t/sS~277 t/s
liquidLFM2.5 2.6B—S~341 t/sS~350 t/s
qwenQwen3.5 2B—S~449 t/sS~461 t/s
qwenQwen3.5 0.8B—S~1,026 t/sS~1,052 t/s

Estimates from published specs and measurements, calibrated per backend. Your drivers, settings and runtime change the real numbers.

Change memory, context or quantOpen this comparison in the interactive tool.