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What AI can an RTX 4060/4070/5060/5070 Laptop run?

Windows laptop with RTX 4060 Laptop, RTX 4070 Laptop, RTX 5060 Laptop or RTX 5070 Laptop and 32 GB RAM. Updated 2 November 2026. These machines fit exactly the same models, so they share this page. Their memory speeds range from 256 to 384 GB/s, so words per second scale with memory speed. Speeds shown are for RTX 4060 Laptop.

Quick verdict

Windows laptop with RTX 4060 Laptop, RTX 4070 Laptop, RTX 5060 Laptop or RTX 5070 Laptop and 32 GB RAM can run 9 of the 31 models tracked here at a comfortable speed, and another 12 slowly. The largest chat or coding model that fits is Gemma 4 E4B, which needs about 7.4 GB and generates roughly 36 words a second. The quickest is Gemma 4 E2B at about 58 words a second, which feels faster than you can read.

Laptops with this chip include Lenovo Legion 5, ASUS TUF Gaming, HP Victus. Laptop graphics run at lower power than desktop cards, so expect somewhat lower speeds, especially on battery. Plug in for AI work.

What limits this machine

Video memory (VRAM) is the limit: 8 GB on this card. A model must fit in VRAM to run fast. Anything larger spills into system RAM (32 GB in this setup), which works but is slow, because system RAM moves data at roughly 70 GB/s while the card moves 256 GB/s.

What it is good for

Chat and coding

Best chat pick: Gemma 4 E4B at about 36 words a second. Best coding pick: Qwen2.5 Coder 7B at about 25.

Images

Video

Video models need more memory than this machine has.

Voice and music

Fastest models here

Memory headroom

Spare memory after loading the model decides how long a conversation or document can be before things slow down. With about 27 GB usable here:

What does not fit, and by how much

How it compares

Is an upgrade worth it?

The biggest single jump is Windows laptop with AMD Ryzen AI Max+ 395, 128 GB, which would unlock 18 more models, including Gemma 4 12B, gpt-oss 20B, Gemma 4 26B A4B.

Questions

What is the best local AI model for RTX 4060/4070/5060/5070 Laptop?

For chat, Gemma 4 E4B is the best fit, at about 36 words a second. For coding, Qwen2.5 Coder 7B.

How fast is RTX 4060/4070/5060/5070 Laptop for local AI?

Gemma 4 12B runs at about 11 words a second (slow); gpt-oss 20B runs at about 11 words a second (slow); Qwen 3.5 35B A3B runs at about 11 words a second (slow).

Can RTX 4060/4070/5060/5070 Laptop run Llama 3.3 70B?

No. Llama 3.3 70B needs about 45.6 GB and this machine tops out near 27 GB.

The 21 models that run on this machine

ModelVerdictSpeedNeeds
Gemma 4 E4BRuns great36 words/s7.4 GB
Qwen 3.5 9BRuns great17 words/s7.4 GB
Qwen3 VL 8BRuns great19 words/s6.9 GB
DeepSeek R1 8BRuns great23 words/s6 GB
Qwen2.5 Coder 7BRuns great25 words/s5.4 GB
Gemma 4 E2BRuns great58 words/s5.3 GB
Qwen 3.5 4BRuns great35 words/s4 GB
Whisper large-v3 turboRuns wellabout 1 min4 GB
Kokoro TTSRuns wellabout 11 s2 GB
Qwen 3.6 35B A3BSlow11 words/s24.6 GB
Qwen 3.5 35B A3BSlow11 words/s23.6 GB
Qwen3 Coder 30BSlow11 words/s20.4 GB
Gemma 4 26B A4BSlow9 words/s19.4 GB
gpt-oss 20BSlow11 words/s15.2 GB
Phi-4 14BSlow8 words/s10.1 GB
Stable Diffusion XLSlowabout 36 s8 GB
Qwen3 TTS 1.7BSlowabout 2 min8 GB
Gemma 4 12BSlow11 words/s8.5 GB
Gemma 4 31BVery slow2 words/s21.5 GB
DeepSeek R1 32BVery slow2 words/s21.5 GB
Qwen 3.6 27BVery slow2 words/s19.9 GB

What an upgrade would unlock

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Windows laptop with RTX 5080 Laptop (16 GB) and 32 GB RAM

Unlocks 7 more: Gemma 4 12B, gpt-oss 20B, Phi-4 14B, Stable Diffusion XL and more.

See prices

Windows laptop with AMD Ryzen AI Max+ 395, 128 GB

Unlocks 18 more: Gemma 4 12B, gpt-oss 20B, Gemma 4 26B A4B, Qwen 3.5 35B A3B and more.

See prices

Mac with M4 Pro, 48 GB

Unlocks 18 more: Gemma 4 12B, gpt-oss 20B, Gemma 4 26B A4B, Qwen 3.5 35B A3B and more.

See prices
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