GPUs › NVIDIA

Best free AI models for the RTX 4070 / 4070 Super

RTX 4070 / 4070 Super: 12 GB of video memory, 504 GB/s. These are the free models it runs, ranked by Arena votes, with the speed you can expect.

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Best voted model, with RAM helpGemma 4 31BArena 1443 · ~6.4 tokens/s with 64 GB RAM
Largest dense model~16 Bat 4-bit, 8K context, fully on the GPU
Memory12 GB504 GB/s bandwidth
With two cardsGemma 4 31B24 GB · ~18 tokens/s

Bigger models with help from 64 GB of system RAM

Part of the model sits in system memory, which is much slower than video memory.

ModelArena scoreSize4-bit fileTokens/s
Gemma 4 31B
google
144331.3 B20 GB6.4
Qwen3.8-27B
alibaba
144127.8 B18 GB9.3
Gemma 4 26B A4B
google · MoE, 4 B active
143425.8 B17 GB55
Qwen3.5-27B
alibaba
140927.8 B18 GB9.3
gemma-3-27b-it
google
135827.4 B18 GB8.9

Popular small models

Official small models with no Arena votes yet, ordered by downloads on Hugging Face (popularity, not quality).

ModelDownloads/monthSize4-bit fileTokens/s
Qwen3-0.6B
Qwen
29.5M0.8 B1.7 GB216
Qwen3-4B
Qwen
11.8M4 B3.6 GB98
Qwen3-8B
Qwen
8.9M8.2 B6.2 GB60
Qwen3-14B
Qwen
8.4M14.8 B10 GB37
Qwen3.5-4B
Qwen
7.8M4.7 B4.0 GB112
Qwen3.5-9B
Qwen
7.5M9.7 B7.1 GB60

Estimates at 4-bit (Q4_K_M) with an 8K context, calibrated on 44 real llama.cpp tests (typical error about ±10%). Tokens per second: about 10 is reading speed. As an Amazon Associate, FreeLLMArena earns from qualifying purchases; the links do not change the rankings.

Questions

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

No voted model fits entirely in 12 GB at 4-bit. Small models without Arena votes do, and larger ones run with help from system RAM, more slowly.

How big a model can the RTX 4070 / 4070 Super run?

About 16 billion parameters for a dense model at 4-bit with an 8K context, fully on the GPU. Mixture-of-experts models can be bigger, and with 64 GB of system RAM larger models still run, more slowly.

Is the RTX 4070 / 4070 Super good for local LLMs?

It has 12 GB of memory and 504 GB/s of bandwidth. Memory decides which models fit; bandwidth decides how fast they write. With less than 16 GB it runs small models well; bigger ones need system RAM and get slow.

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