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What AI can an RTX 4070/4070 Super / RTX 5070 run?

PC with RTX 4070/4070 Super or RTX 5070 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 504 to 672 GB/s, so words per second scale with memory speed. Speeds shown are for RTX 4070/4070 Super.

Quick verdict

PC with RTX 4070/4070 Super or RTX 5070 and 32 GB RAM can run 14 of the 31 models tracked here at a comfortable speed, and another 9 slowly. The largest chat or coding model that fits is Phi-4 14B, which needs about 10.1 GB and generates roughly 25 words a second. The quickest is Gemma 4 E2B at about 113 words a second, which feels faster than you can read.

What limits this machine

Video memory (VRAM) is the limit: 12 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 504 GB/s.

What it is good for

Chat and coding

Best chat pick: Gemma 4 12B at about 29 words a second. Best coding pick: Qwen2.5 Coder 7B at about 48.

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 31 GB usable here:

What does not fit, and by how much

How it compares

Is an upgrade worth it?

The biggest single jump is Ryzen AI Max+ 395 (Strix Halo), 128 GB, which would unlock 13 more models, including gpt-oss 20B, Gemma 4 26B A4B, Qwen 3.5 35B A3B.

Questions

What is the best local AI model for RTX 4070/4070 Super / RTX 5070?

For chat, Gemma 4 12B is the best fit, at about 29 words a second. For coding, Qwen2.5 Coder 7B.

How fast is RTX 4070/4070 Super / RTX 5070 for local AI?

Gemma 4 12B runs at about 29 words a second (runs great); gpt-oss 20B runs at about 19 words a second (slow); Qwen 3.5 35B A3B runs at about 15 words a second (slow).

Can RTX 4070/4070 Super / RTX 5070 run Llama 3.3 70B?

No. Llama 3.3 70B needs about 45.6 GB and this machine tops out near 31 GB.

The 23 models that run on this machine

ModelVerdictSpeedNeeds
FLUX.2 klein 4BRuns greatabout 19 s10 GB
Phi-4 14BRuns great25 words/s10.1 GB
Gemma 4 12BRuns great29 words/s8.9 GB
Stable Diffusion XLRuns greatabout 11 s8 GB
Qwen3 TTS 1.7BRuns greatabout 30 s8 GB
Gemma 4 E4BRuns great71 words/s7.4 GB
Qwen 3.5 9BRuns great35 words/s7.4 GB
Qwen3 VL 8BRuns great38 words/s6.9 GB
DeepSeek R1 8BRuns great44 words/s6 GB
Qwen2.5 Coder 7BRuns great48 words/s5.4 GB
Gemma 4 E2BRuns great113 words/s5.3 GB
Whisper large-v3 turboRuns greatabout 42 s4 GB
Qwen 3.5 4BRuns great69 words/s4 GB
Kokoro TTSRuns greatabout 6 s2 GB
Qwen 3.6 35B A3BSlow14 words/s24.6 GB
Qwen 3.5 35B A3BSlow15 words/s23.6 GB
Qwen3 Coder 30BSlow16 words/s20.4 GB
Qwen 3.6 27BSlow3 words/s19.9 GB
Gemma 4 26B A4BSlow13 words/s19.4 GB
gpt-oss 20BSlow19 words/s15.2 GB
ACE-Step 1.5Slowabout 3 min12 GB
Gemma 4 31BVery slow3 words/s21.5 GB
DeepSeek R1 32BVery slow3 words/s21.5 GB

What an upgrade would unlock

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PC with RTX 3090 (24 GB) and 32 GB RAM

Unlocks 9 more: gpt-oss 20B, Gemma 4 26B A4B, Gemma 4 31B, Qwen3 Coder 30B and more.

See prices

PC with RTX 5090 (32 GB) and 32 GB RAM

Unlocks 12 more: gpt-oss 20B, Gemma 4 26B A4B, Qwen 3.5 35B A3B, Gemma 4 31B and more.

See prices

Ryzen AI Max+ 395 (Strix Halo), 128 GB

Unlocks 13 more: gpt-oss 20B, Gemma 4 26B A4B, Qwen 3.5 35B A3B, Qwen 3.5 122B A10B and more.

See prices
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