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RTX 3090 vs RTX 4070 Ti Super for local AI

The RTX 3090 fits more: up to Qwen3 32B, against gpt-oss 20B on the RTX 4070 Ti Super. The RTX 3090 generates about 39% faster on any model both can run, because it has 936 GB/s of memory bandwidth to the RTX 4070 Ti Super's 672 GB/s.

The numbers that matter

Memory and bandwidth

Memory decides which models fit. Bandwidth decides how fast they generate, because every token reads the model's active weights once.

RTX 3090RTX 4070 Ti Super
Memory24 GB VRAM16 GB VRAM
Bandwidth936 GB/s672 GB/s
Biggest model that fitsQwen3 32Bgpt-oss 20B
Best everyday pickQwen3 32B, ~26 tok/sgpt-oss 20B, ~120 tok/s
Model by model

Every model, side by side

Estimated generation speed at the largest memory size each was sold in (24 GB and 16 GB).

ModelRTX 3090RTX 4070 Ti Super
Qwen3 4B
About 4 GB
~210 tok/s Runs great~150 tok/s Runs great
Qwen3 8B
About 7 GB
~99 tok/s Runs great~71 tok/s Runs great
Gemma 3 12B
About 10 GB
~64 tok/s Runs great~46 tok/s Runs great
Qwen3 14B
About 11 GB
~55 tok/s Runs great~40 tok/s Runs great
gpt-oss 20B
About 16 GB
~160 tok/s Runs great~120 tok/s Runs great
Gemma 3 27B
About 19 GB
~30 tok/s Runs greatNeeds 19 GB
Qwen3 30B-A3B
About 21 GB
~160 tok/s Runs greatNeeds 21 GB
Qwen3 32B
About 22 GB
~26 tok/s UsableNeeds 22 GB
Llama 3.3 70B
About 45 GB
Needs 45 GBNeeds 45 GB
gpt-oss 120B
About 67 GB
Needs 67 GBNeeds 67 GB
Qwen3 235B-A22B
About 144 GB
Needs 144 GBNeeds 144 GB
DeepSeek R1 671B
About 406 GB
Needs 406 GBNeeds 406 GB
Which should you get?

The RTX 3090: it fits bigger models and runs faster. Price matters as much as either number: check used prices on the builds page, where every parts list has a measured or estimated speed.

How we estimate

Both columns use the same formula: memory bandwidth divided by the weights read per token, calibrated on our own rack, with Ollama's default 4-bit sizes. Real results are usually within about a third. Measured either one? Send us the number.

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