What can an RTX 5070 run?

Graphics card artwork

The RTX 5070 has 12GB of VRAM and 672 GB/s of memory bandwidth. Run through the same engine as our calculator, it runs 20 of 51 current local LLMs fully on the GPU — the biggest is gpt-oss 20B.

VRAM
12 GB
Bandwidth
672 GB/s
Models that fit
20/51
Llama 3.1 8B
~59 tok/s
See it on the cardPick a model — the fans do the math.
RTX 5070 12 GB · 672 GB/s WILL IT RUN IT?
– of your card used
VRAM needed: – of 12 GB
Best quant: – · Est. speed: –
Choose a model to check the fit.
Change the context, quant or RAM and see live results for the RTX 5070.
Open the RTX 5070 in the calculator →

Every model, checked against the RTX 5070

Best quant means the highest-quality quantization that still fits fully in 12GB at 8K context. Speeds are llama.cpp estimates from memory bandwidth — the same math the calculator uses.

ModelBest quantVRAM neededEst. speedStatus
Llama 3.2 1B
Llama
Q8_02.3 GB~200 tok/sRuns on GPU
Qwen3 0.6B
Qwen
Q8_01.7 GB~200 tok/sRuns on GPU
Gemma 3 1B
Gemma
Q8_02.0 GB~200 tok/sRuns on GPU
Llama 3.2 3B
Llama
Q8_05.1 GB~131 tok/sRuns on GPU
Qwen3 1.7B
Qwen
Q8_03.4 GB~200 tok/sRuns on GPU
Phi-4-mini
Phi
Q8_05.9 GB~112 tok/sRuns on GPU
Qwen3 4B
Qwen
Q8_05.8 GB~114 tok/sRuns on GPU
Gemma 3 4B
Gemma
Q8_06.8 GB~95 tok/sRuns on GPU
Llama 3.1 8B
Llama
Q8_010.6 GB~59 tok/sRuns on GPU
Qwen3 8B
Qwen
Q8_011.0 GB~58 tok/sRuns on GPU
Mistral 7B v0.3
Mistral
Q8_09.8 GB~65 tok/sRuns on GPU
Ministral 8B
Mistral
Q8_010.7 GB~59 tok/sRuns on GPU
gpt-oss 20B
OpenAI
Q3_K_M11.7 GB~200 tok/sRuns on GPU
Qwen3 14B
Qwen
Q4_K_M11.3 GB~56 tok/sRuns on GPU
Phi-4 14B
Phi
Q4_K_M11.6 GB~54 tok/sRuns on GPU
Gemma 3 12B
Gemma
Q4_K_M11.4 GB~55 tok/sRuns on GPU
Mistral Small 3.1 24B
Mistral
—17.5 GB—Won't fit
Gemma 3 27B
Gemma
—23.4 GB—Won't fit
Gemma 4 31B
Gemma
—25.3 GB—Won't fit
Gemma 4 26B-A4B
Gemma
—18.0 GB—Won't fit
Qwen3 32B
Qwen
—22.7 GB—Won't fit
Qwen3 30B-A3B
Qwen
—20.3 GB—Won't fit
Qwen3-Coder 30B-A3B
Qwen
—20.3 GB—Won't fit
DeepSeek-R1 Distill 32B
DeepSeek
—23.5 GB—Won't fit
Llama 3.3 70B
Llama
—48.0 GB—Won't fit
Llama 4 Scout
Llama
—71.3 GB—Won't fit
gpt-oss 120B
OpenAI
—75.2 GB—Won't fit
Qwen3 235B-A22B
Qwen
—150.4 GB—Won't fit
Llama 4 Maverick
Llama
—255.8 GB—Won't fit
DeepSeek-V3
DeepSeek
—427.8 GB—Won't fit
DeepSeek-R1
DeepSeek
—427.8 GB—Won't fit
Qwen3.5 9B
Qwen
Q8_010.9 GB~58 tok/sRuns on GPU
Qwen3.5 35B-A3B
Qwen
—22.9 GB—Won't fit
Qwen3.6 35B-A3B
Qwen
—22.9 GB—Won't fit
Qwen3.6 27B
Qwen
—18.2 GB—Won't fit
Qwen3.8 27B
Qwen
—18.7 GB—Won't fit
Gemma 4 E4B
Gemma
Q8_010.2 GB~104 tok/sRuns on GPU
DeepSeek V4-Flash
DeepSeek
—181.4 GB—Won't fit
GLM-5.3-Flash
GLM
—203.6 GB—Won't fit
Kimi K2.6
Kimi
—635.6 GB—Won't fit
MiniMax M3
MiniMax
—272.9 GB—Won't fit
Mistral Small 4
Mistral
—76.3 GB—Won't fit
Kimi K3
Kimi
—1763.3 GB—Won't fit
Muse Spark Open
Muse
—520.0 GB—Won't fit
Flint
Recursive
—26.1 GB—Won't fit
Beam 1.0
Reflection
—318.7 GB—Won't fit
MiniMax M3.1 Flash
MiniMax
—272.9 GB—Won't fit
Mistral Large 4
Mistral
—667.3 GB—Won't fit
Ling-3.1-flash-1019
Ling
—355.8 GB—Won't fit
LFM3-1.7B
Liquid
Q8_02.6 GB~200 tok/sRuns on GPU
LFM3-VL-2B
Liquid
Q8_02.8 GB~200 tok/sRuns on GPU
Shopping for this card? See RTX 5070 prices on Amazon → (affiliate link — it never changes the recommendations, which are physics-based)

Want to run 70B models?

A 70B model at Q4 needs about 48 GB of VRAM — more than the RTX 5070's 12GB. The cheapest single card that runs Llama 3.3 70B fully on-GPU is the Apple M5 Pro (64GB) (54GB). Check Apple M5 Pro (64GB) prices on Amazon →
Or skip the hardware: rent a Apple M5 Pro (64GB)-class GPU by the hour and run 70B today. RunPod · Vast.ai

RTX 5070 FAQ

What's the biggest LLM an RTX 5070 can run?

Fully on-GPU at 8K context, the biggest model that fits the RTX 5070 (12GB) is gpt-oss 20B at Q3_K_M (~200 tok/s). Larger models need a card with more VRAM or system-RAM offload, which is much slower.

How fast is an RTX 5070 for local AI?

On a mid-size model like Llama 3.1 8B (Q8_0), expect roughly 59 tokens/sec. Speed scales with memory bandwidth (672 GB/s) more than anything else.

Can an RTX 5070 run a 70B model?

Not fully on-GPU: a 70B at Q4 needs about 48 GB and the RTX 5070 has 12GB. It can crawl with system-RAM offload, but a bigger card or a rented cloud GPU is the practical route.

Is the RTX 5070 good for local AI in 2026?

It runs 20 of the 51 models we track — a strong local-AI card. The full breakdown is in the table above.

Keep exploring

More GPU guides: RTX 5090 · RTX 5080 · RTX 5060 Ti 16GB · RTX 4090 · All GPU guides

Related reading: How to Run an LLM Locally (Beginner's Guide) · Q4 vs Q8 Quantization: VRAM Explained · Best Budget GPUs for Local AI