← Every comparisonHead to head

RTX 2060 Super vs RTX 5070 Laptop for local AI

Both fit the same models we track, up to Qwen3 8B. The RTX 2060 Super generates about 17% faster on any model both can run, because it has 448 GB/s of memory bandwidth to the RTX 5070 Laptop's 384 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 2060 SuperRTX 5070 Laptop
Memory8 GB VRAM8 GB VRAM
Bandwidth448 GB/s384 GB/s
Biggest model that fitsQwen3 8BQwen3 8B
Best everyday pickQwen3 8B, ~47 tok/sQwen3 8B, ~41 tok/s
Model by model

Every model, side by side

Estimated generation speed at the largest memory size each was sold in (8 GB and 8 GB).

ModelRTX 2060 SuperRTX 5070 Laptop
Qwen3 4B
About 4 GB		~99 tok/s Runs great~84 tok/s Runs great
Qwen3 8B
About 7 GB		~47 tok/s Runs great~41 tok/s Runs great
Gemma 3 12B
About 10 GB		Needs 10 GBNeeds 10 GB
Qwen3 14B
About 11 GB		Needs 11 GBNeeds 11 GB
gpt-oss 20B
About 16 GB		Needs 16 GBNeeds 16 GB
Gemma 3 27B
About 19 GB		Needs 19 GBNeeds 19 GB
Qwen3 30B-A3B
About 21 GB		Needs 21 GBNeeds 21 GB
Qwen3 32B
About 22 GB		Needs 22 GBNeeds 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 2060 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.

Compare

Other matchups

Every comparison