RigFit › Models › Llama 3.3 70B Instruct

Best GPU for Llama 3.3 70B Instruct (2026)

The cheapest GPU that runs Llama 3.3 70B Instruct at 4-bit (Q4) is the RTX A6000 (48 GB), currently about $4,470 (used, GPU Sold, 2026-11-10). Llama 3.3 70B Instruct needs roughly 43.3 GB of VRAM at Q4 with an 8K-token context. Don't want to buy? Rent a RTX A6000 that fits it from $0.33/hr (Runpod).

Prices updated Nov 12, 2026 · model on Hugging Face

Cheapest card that fits, by quantization

QuantVRAM neededCheapest GPU that fitsPriceEst. speed*Shop
Q443.3 GBRTX A600048 GBor rent one from $0.33/hrRunpod$4,470 usedGPU Sold · 2026-11-10~10 tok/sCheck priceused · eBayor new on Amazon
Q873.3 GBNo single GPU we track fits; needs multi-GPU — or rent a NVIDIA A100 80GB from $0.87/hr (below)
FP16134.9 GBNo single GPU we track fits; needs multi-GPU

*Rough estimate from memory bandwidth, single user. Context for text models: 8K tokens. Model specs: 70.6B parameters; 80 layers, 8 KV heads × 128 head dim (from Hugging Face metadata, fetched 2026-10-18).

Or rent a GPU for Llama 3.3 70B Instruct

QuantVRAM neededCheapest rentable GPU that fitsPriceEst. speed*
Q443.3 GBRTX A600048 GB$0.33/hrRunpod · Community Cloud~10 tok/sRent
Q873.3 GBNVIDIA A100 80GB80 GB$0.87/hrVast.ai · marketplace~14 tok/sRent
FP16134.9 GBNo single rentable GPU we track has enough VRAM; needs a multi-GPU pod

Cheapest on-demand hourly prices found 2026-11-12 05:55 ET. Marketplace prices move by the minute. Compare all rental prices and the buy-vs-rent break-even →

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FAQ

How much VRAM does Llama 3.3 70B Instruct need?

About 43 GB at Q4, 73 GB at Q8, 135 GB at FP16 (including a 8K-token KV cache and ~1 GB runtime overhead).

What is the best budget GPU for Llama 3.3 70B Instruct?

RTX A6000 is the cheapest card in our tracker that fits it at Q4.

Can I rent a GPU to run Llama 3.3 70B Instruct instead?

Yes. The cheapest single rented GPU with enough VRAM for Q4 we found was a RTX A6000 at $0.33/hour on Runpod (2026-11-12). Marketplace prices change constantly.

How fast will it run?

Token generation on a single GPU is limited mostly by memory bandwidth. Our tokens/sec figures are estimates (0.6 × bandwidth ÷ bytes read per token) and real results vary by backend and settings.

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