What is the biggest model the RTX 4070 Ti Super can run?

gpt-oss 20B, which needs about 16 GB, on the 16 GB version at about 120 tok/s.

What is the biggest model the RTX 4090 Laptop can run?

gpt-oss 20B, which needs about 16 GB, on the 16 GB version at about 100 tok/s.

RTX 4070 Ti Super vs RTX 4090 Laptop for local AI

Both fit the same models we track, up to gpt-oss 20B. The RTX 4070 Ti Super generates about 17% faster on any model both can run, because it has 672 GB/s of memory bandwidth to the RTX 4090 Laptop's 576 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 4070 Ti Super	RTX 4090 Laptop
Memory	16 GB VRAM	16 GB VRAM
Bandwidth	672 GB/s	576 GB/s
Biggest model that fits	gpt-oss 20B	gpt-oss 20B
Best everyday pick	gpt-oss 20B, ~120 tok/s	gpt-oss 20B, ~100 tok/s

Model by model

Every model, side by side

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

Model	RTX 4070 Ti Super	RTX 4090 Laptop
Qwen3 4B About 4 GB	~150 tok/s Runs great	~130 tok/s Runs great
Qwen3 8B About 7 GB	~71 tok/s Runs great	~61 tok/s Runs great
Gemma 3 12B About 10 GB	~46 tok/s Runs great	~39 tok/s Runs great
Qwen3 14B About 11 GB	~40 tok/s Runs great	~34 tok/s Runs great
gpt-oss 20B About 16 GB	~120 tok/s Runs great	~100 tok/s Runs great
Gemma 3 27B About 19 GB	Needs 19 GB	Needs 19 GB
Qwen3 30B-A3B About 21 GB	Needs 21 GB	Needs 21 GB
Qwen3 32B About 22 GB	Needs 22 GB	Needs 22 GB
Llama 3.3 70B About 45 GB	Needs 45 GB	Needs 45 GB
gpt-oss 120B About 67 GB	Needs 67 GB	Needs 67 GB
Qwen3 235B-A22B About 144 GB	Needs 144 GB	Needs 144 GB
DeepSeek R1 671B About 406 GB	Needs 406 GB	Needs 406 GB

Which should you get?

The RTX 4070 Ti Super, for speed. They fit the same models. 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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Other matchups

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