NVIDIA GeForce RTX 3090 vs NVIDIA GeForce RTX 3090 Ti

For running models locally, priced in India. At 8k context the first runs 28 models fully in memory, the second 28.

In short

Both have 24 GB of memory for models; the NVIDIA GeForce RTX 3090 has 936 GB/s of bandwidth and the NVIDIA GeForce RTX 3090 Ti 1,008 GB/s. At 8k context both run the same 28 models we track fully in memory. On the models both run fully in memory, the NVIDIA GeForce RTX 3090 Ti is about 1.1× as fast as the NVIDIA GeForce RTX 3090 (estimated, median across models).

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

Specifications

SpecNVIDIA GeForce RTX 3090NVIDIA GeForce RTX 3090 Ti
GPUGeForce RTX 3090GeForce RTX 3090 Ti
Memory24 GB GDDR6X24 GB GDDR6X
Memory bus384-bit384-bit
Memory bandwidth936 GB/s1,008 GB/s
FP16 compute71 TFLOPS80 TFLOPS
SoftwareCUDACUDA
Board power350 W450 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 3090NVIDIA GeForce RTX 3090 Ti
Qwen 3.8 27B26tok/sUD-Q6_K28tok/sUD-Q6_K
Qwen 3.6 27B25tok/sQ6_K27tok/sQ6_K
Gemma 4 31B25tok/sQ5_K_M27tok/sQ5_K_M
Qwen 3.6 35B-A3B168tok/sUD-Q4_K_M181tok/sUD-Q4_K_M
Qwen 3.5 27B25tok/sQ6_K27tok/sQ6_K
Gemma 4 26B-A4B88tok/sUD-Q6_K95tok/sUD-Q6_K
Qwen 3.5 35B-A3B168tok/sQ4_K_M181tok/sQ4_K_M
GLM 4.7 Flash87tok/sQ5_K_M94tok/sQ5_K_M
Devstral Small 2 24B28tok/sQ6_K30tok/sQ6_K
gpt-oss 20B132tok/sMXFP4142tok/sMXFP4
Qwen3 Coder 30B-A3B118tok/sQ5_K_M128tok/sQ5_K_M
Qwen3 32B27tok/sQ4_K_M29tok/sQ4_K_M
Gemma 4 12B44tok/sQ8_048tok/sQ8_0
Qwen 3.5 9B59tok/sQ8_064tok/sQ8_0
Mistral Small 3.2 24B28tok/sQ6_K30tok/sQ6_K
DeepSeek R1 Distill Qwen 32B26tok/sQ4_K_M28tok/sQ4_K_M
Gemma 3 27B25tok/sQ6_K27tok/sQ6_K
Ministral 3 14B37tok/sQ8_040tok/sQ8_0
Qwen3 14B34tok/sQ8_037tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B59tok/sQ8_063tok/sQ8_0
Qwen3 8B59tok/sQ8_063tok/sQ8_0
Phi-4 14B34tok/sQ8_036tok/sQ8_0
Qwen 3.5 4B121tok/sQ8_0130tok/sQ8_0
Ministral 3 8B57tok/sQ8_062tok/sQ8_0
Granite 4.2 8B54tok/sQ8_059tok/sQ8_0
Gemma 4 E4B69tok/sQ8_074tok/sQ8_0
LFM2.5 8B-A1B237tok/sQ8_0256tok/sQ8_0
Llama 3.1 8B76tok/sQ6_K82tok/sQ6_K
Qwen 3.5 122B-A10Boffloadoffload
Qwen3 Coder Nextoffloadoffload
Mistral Small 4 119Boffloadoffload
GLM 4.5 Airoffloadoffload
Qwen3 Next 80B-A3Boffloadoffload
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
Llama 3.3 70Boffloadoffload
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

Questions

Which is better for local AI, the NVIDIA GeForce RTX 3090 or the NVIDIA GeForce RTX 3090 Ti?
Choose the NVIDIA GeForce RTX 3090 Ti for speed.
Which can run bigger models, the NVIDIA GeForce RTX 3090 or the NVIDIA GeForce RTX 3090 Ti?
At 8k context both run the same 28 models we track fully in memory.
Which is faster for local AI, the NVIDIA GeForce RTX 3090 or the NVIDIA GeForce RTX 3090 Ti?
On the models both run fully in memory, the NVIDIA GeForce RTX 3090 Ti is about 1.1× as fast as the NVIDIA GeForce RTX 3090 (estimated, median across models).

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