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NVIDIA GeForce RTX 3090 Ti vs NVIDIA GeForce RTX 4080 Super

For running models locally, priced in Canada. At 64k context the first runs 44 models fully in memory, the second 29.

In short

The NVIDIA GeForce RTX 3090 Ti has more memory for models: 24 GB against 16 GB. At 64k context the NVIDIA GeForce RTX 3090 Ti runs 44 of the models we track fully in memory and the NVIDIA GeForce RTX 4080 Super 29; only the NVIDIA GeForce RTX 3090 Ti holds Qwen 3.8 27B. On the models both run fully in memory, the NVIDIA GeForce RTX 3090 Ti is about 1.4× as fast as the NVIDIA GeForce RTX 4080 Super (estimated, median across models). In Canada the NVIDIA GeForce RTX 3090 Ti costs $2,750 at eBay (used) and the NVIDIA GeForce RTX 4080 Super $1,599 at eBay (used): the NVIDIA GeForce RTX 4080 Super is $1,151 cheaper.

Updated . Speeds are estimates; how they are worked out.

NVIDIA GeForce RTX 3090 Ti

$2,750

eBay, used (asking)

Add to build
NVIDIA GeForce RTX 4080 Super

$1,599

eBay, used (asking)

Add to build

Specifications

SpecNVIDIA GeForce RTX 3090 TiNVIDIA GeForce RTX 4080 Super
GPUGeForce RTX 3090 TiGeForce RTX 4080 Super
Memory24 GB GDDR6X16 GB GDDR6X
Memory bus384-bit256-bit
Memory bandwidth1,008 GB/s736 GB/s
FP16 compute80 TFLOPS104 TFLOPS
SoftwareCUDACUDA
Board power450 W320 W
PCIe generationGen 4Gen 4
PCIe lanesx16x16

What each runs

Estimated decode speed with the most precise quant that fits each one est.

ModelNVIDIA GeForce RTX 3090 TiNVIDIA GeForce RTX 4080 Super
Qwen 3.8 27B29tok/sQ4_K_Moffload
Qwen 3.6 27B26tok/sQ5_K_Moffload
Qwen 3.6 35B-A3B115tok/sQ4_K_Moffload
Qwen 3.5 27B30tok/sQ4_K_Moffload
Gemma 4 26B-A4B78tok/sUD-Q5_K_Moffload
Qwen 3.5 35B-A3B116tok/sQ4_K_Moffload
GLM 4.7 Flash57tok/sQ4_K_Moffload
Nemotron 3.5 Lightning 30B-A3B141tok/sMXFP4offload
gpt-oss 20B93tok/sMXFP468tok/sMXFP4
Gemma 4 12B44tok/sQ8_032tok/sQ8_0
Qwen 3.5 9B53tok/sQ8_039tok/sQ8_0
Gemma 3 27B28tok/sQ4_K_Moffload
Ministral 3 14B29tok/sQ6_Koffload
Qwen3 14B27tok/sQ6_Koffload
DeepSeek R1 0528 Qwen3 8B34tok/sQ8_031tok/sQ4_K_M
Qwen3 8B34tok/sQ8_031tok/sQ4_K_M
Phi-4 14B26tok/sQ5_K_Moffload
Qwen 3.5 4B94tok/sQ8_068tok/sQ8_0
Ministral 3 8B34tok/sQ8_030tok/sQ5_K_M
Granite 4.2 8B31tok/sQ8_0offload
Gemma 4 E4B62tok/sQ8_045tok/sQ8_0
LFM2.5 8B-A1B88tok/sQ8_064tok/sQ8_0
Llama 3.1 8B41tok/sQ6_K30tok/sQ6_K
Qwen2.5 0.5B468tok/sQ8_0342tok/sQ8_0
Qwen3.5 0.8B382tok/sQ8_0279tok/sQ8_0
Qwen3.5 2B277tok/sQ5_K_M202tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B166tok/sQ8_0121tok/sQ8_0
MiniCPM5 2B114tok/sQ8_083tok/sQ8_0
Spark X2.5 4B113tok/smlx-4bit83tok/smlx-4bit
Mellum2.1 12B A2.5B Thinking103tok/sQ8_075tok/sQ8_0
LFM2.5 2.6B91tok/sQ8_066tok/sQ8_0
LFM2.5 VL 3B91tok/sQ8_066tok/sQ8_0
Kimi VL A3B Thinking 250673tok/sQ8_069tok/sQ4_K_M
Kimi VL A3B71tok/smlx-8bit65tok/smlx-5bit
granite vision 4.1 4b70tok/sQ8_051tok/sQ8_0
granite 4.2 3b68tok/sQ8_049tok/sQ8_0
GLM 4 9B 041457tok/smlx-5bit42tok/smlx-5bit
LFM2.5 24B A2B54tok/sQ5_K_Moffload
DeepSeek R1 Distill Qwen 7B53tok/sQ8_039tok/sQ8_0
GLM 4.6V Flash49tok/sQ8_036tok/sQ8_0
GLM 4.1V 9B Thinking43tok/smlx-8bit32tok/smlx-8bit
DeepSeek R1 Distill Llama 8B37tok/sQ8_030tok/sQ6_K
Ministral 3 8B Reasoning 251234tok/sQ8_030tok/sQ5_K_M
DeepSeek R1 Distill Qwen 14B27tok/sQ5_K_Moffload
Qwen 3.5 122B-A10Boffloadwon't run
Gemma 4 31Boffloadoffload
Qwen3 Coder Nextoffloadwon't run
Mistral Small 4 119Boffloadoffload
Devstral Small 2 24Boffloadoffload
Qwen3 Next 80B-A3Boffloadwon't run
Kimi Linear 48B-A3Boffloadoffload
Qwen3 Coder 30B-A3Boffloadoffload
Qwen3 32Boffloadoffload
Mistral Small 3.2 24Boffloadoffload
DeepSeek R1 Distill Qwen 32Boffloadoffload
Devstral Small 2507offloadoffload
Magistral Small 2506offloadoffload
Magistral Small 2507offloadoffload
Magistral Small 2509offloadoffload
Qwen3.8 27B OBLITERATEDoffloadoffload
granite 4.2 30boffloadoffload
DeepSeek V4 Flashwon't runwon't run
GLM 5.3 Flashwon't runwon't run
Qwen 3.8 Flash Nextwon't runwon't run
MiniMax M2.7won't runwon't run
Nemotron 3 Super 120B-A12Bwon't runwon't run
gpt-oss 120Bwon't runwon't run
GLM 4.5 Airwon't runwon't run
Llama 3.3 70Bwon't runwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Distill Llama 70Bwon't runwon't run
DeepSeek R1 Zerowon't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.1 Terminuswon't runwon't run
DeepSeek V3.2won't runwon't run
DeepSeek V4 Flash 0731won't runwon't run
DeepSeek V4 Flash Vision Expwon't runwon't run
Devstral 2 123B Instruct 2512won't runwon't run
GLM 4.5Vwon't runwon't run
GLM 4.6won't runwon't run
GLM 4.6Vwon't runwon't run
GLM 4.7won't runwon't run
GLM 5.1won't runwon't run
GLM 5.2won't runwon't run
GLM 5.3won't runwon't run
Kimi Dev 72Bwon't runwon't run
Kimi K2won't runwon't run
Kimi K2 Instruct 0905won't runwon't run
Kimi K2 Thinkingwon't runwon't run
Kimi K2.5won't runwon't run
MiniMax M2won't runwon't run
MiniMax M2.1won't runwon't run
MiniMax M2.5won't runwon't run
MiniMax M3won't runwon't run
Mistral Medium 3.5 128Bwon't runwon't run

Questions

Which is better for local AI, the NVIDIA GeForce RTX 3090 Ti or the NVIDIA GeForce RTX 4080 Super?
Choose the NVIDIA GeForce RTX 3090 Ti to run bigger models. Choose the NVIDIA GeForce RTX 3090 Ti for speed. Choose the NVIDIA GeForce RTX 4080 Super to spend less.
Which can run bigger models, the NVIDIA GeForce RTX 3090 Ti or the NVIDIA GeForce RTX 4080 Super?
At 64k context the NVIDIA GeForce RTX 3090 Ti runs 44 of the models we track fully in memory and the NVIDIA GeForce RTX 4080 Super 29; only the NVIDIA GeForce RTX 3090 Ti holds Qwen 3.8 27B.
Which is faster for local AI, the NVIDIA GeForce RTX 3090 Ti or the NVIDIA GeForce RTX 4080 Super?
On the models both run fully in memory, the NVIDIA GeForce RTX 3090 Ti is about 1.4× as fast as the NVIDIA GeForce RTX 4080 Super (estimated, median across models).
What is the price difference between the NVIDIA GeForce RTX 3090 Ti and the NVIDIA GeForce RTX 4080 Super?
In Canada the NVIDIA GeForce RTX 3090 Ti costs $2,750 at eBay (used) and the NVIDIA GeForce RTX 4080 Super $1,599 at eBay (used): the NVIDIA GeForce RTX 4080 Super is $1,151 cheaper.

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