24h drops
CMP 170HX 40GB$2,499-14.8%
A100 80GB PCIe$18,999-13.1%
- Radeon PRO W7800$1,799-10.0%
Arc Pro B70$2,027-5.9%GeForce RTX 4080$1,300-3.7%
24h rises
- MacBook Pro M4 Max 128GB$5,999+10.1%
- Mac Studio M4 Max 128GB$6,000+7.2%
CMP 170HX 64GB$4,000+6.7%
- Radeon RX 9070 XT$1,150+4.5%
GeForce RTX 5080$2,449+3.4%
Most listings
GeForce RTX 5090$7,500127 listings
GeForce RTX 3060 12GB$449116 listings
GeForce RTX 3090$1,850113 listings
GeForce RTX 5080$2,449104 listings
GeForce RTX 5070$90084 listings
Latest release
Kimi K3.1 Pro2,800BQ41,508.7 GB
Mistral Large 41,000BQ4604.8 GB
DeepSeek V4.1 Flash763BQ4444.7 GB
Muse Spark Open816BQ4505.5 GB
Hy4 preview770BQ4467.3 GB
Local LLM GPU Ranking
eBay
| Model | 30d trend | Ecosystem | |||||||
|---|---|---|---|---|---|---|---|---|---|
| No price in this market | — | 80 | 2,000 | 756 | 1,513 | 350 | CUDA | ||
| $20,00020 listings | 0.0% | 96 | 1,792 | 500 | 1,000 | 600 | CUDA | ||
| $7,500127 listings | 0.0% | 32 | 1,792 | 419 | 838 | 575 | CUDA | ||
| No price in this market | — | 84 | 1,398 | 385.2 | 770.5 | 600 | CUDA | ||
| $8,99917 listings | 0.0% | 48 | 864 | 362.1 | 733 | 350 | CUDA | ||
| $7,8396 listings | -1.9% | 48 | 960 | 364.3 | 728.5 | 300 | CUDA | ||
| $3,97366 listings | -0.7% | 24 | 1,008 | 330.3 | 660.6 | 450 | CUDA | ||
| No price in this market | — | 48 | 1,008 | 330.3 | 660.6 | 450 | CUDA | ||
| $7,00017 listings | 0.0% | 40 | 1,555 | 312 | 624 | 250 | CUDA | ||
| $18,99911 listings | -13.1% | 80 | 1,935 | 312 | 624 | 300 | CUDA | ||
| No price in this market | — | 32 | 1,792 | 296.9 | 593.8 | 575 | CUDA | ||
| No price in this market | — | 24 | 1,344 | 296.9 | 593.8 | 575 | CUDA | ||
| No price in this market | — | 48 | 1,008 | 294.3 | 588.5 | 425 | CUDA | ||
| $7,64916 listings | +0.6% | 48 | 1,344 | 258 | 516 | 300 | CUDA | ||
| $10,2503 listings | 0.0% | 72 | 1,344 | 258 | 516 | 300 | CUDA | ||
| $2,449104 listings | +3.4% | 16 | 960 | 225.1 | 450.2 | 360 | CUDA | ||
| $4,80017 listings | 0.0% | 32 | 896 | 210.9 | 421.8 | 200 | CUDA | ||
| No price in this market | — | 32 | 736 | 208.9 | 417.8 | 320 | CUDA | ||
| $2,4993 listings | -14.8% | 40 | 1,560 | 202 | 404 | 250 | CUDA | ||
| $4,0007 listings | +6.7% | 64 | 1,493 | 202 | 404 | 250 | CUDA | ||
| $1,30049 listings | -3.7% | 16 | 717 | 195 | 389.9 | 320 | CUDA | ||
| Radeon RX 9070 XT | $1,15059 listings | +4.5% | 16 | 640 | 195 | 389 | 304 | ROCm | |
| Radeon AI PRO R9700 | $1,9503 listings | -3.5% | 32 | 640 | 191 | 383 | 300 | ROCm | |
| $2,0278 listings | -5.9% | 32 | 608 | 183.5 | 367 | 230 | oneAPI | ||
| $1,49939 listings | 0.0% | 16 | 896 | 175.8 | 351.5 | 300 | CUDA | ||
| $2,99710 listings | 0.0% | 24 | 672 | 161.3 | 322.5 | 145 | CUDA | ||
| $5,0878 listings | +1.8% | 48 | 768 | 154.9 | 309.7 | 300 | CUDA | ||
| $1,850113 listings | +2.8% | 24 | 936 | 142.3 | 284.7 | 350 | CUDA | ||
| $8,00022 listings | +0.6% | 128 | 273 | 125 | 250 | 240 | CUDA | ||
| $90084 listings | 0.0% | 12 | 672 | 123.5 | 247 | 250 | CUDA | ||
| $5513 listings | — | 22 | 616 | 107.6 | 215.2 | 250 | CUDA | ||
| $1,0736 listings | -2.5% | 24 | 456 | 98.5 | 197 | 200 | oneAPI | ||
| No price in this market | — | 32 | 608 | 98.5 | 197 | 200 | oneAPI | ||
| $85054 listings | +0.7% | 16 | 448 | 94.9 | 189.8 | 180 | CUDA | ||
| Instinct MI210 | $5,04411 listings | 0.0% | 64 | 1,638 | 181 | 181 | 300 | ROCm | |
| $72512 listings | -0.7% | 16 | 288 | 88.3 | 176.5 | 165 | CUDA | ||
| $4955 listings | 0.0% | 16 | 403 | 80 | 160 | 150 | CUDA | ||
| Radeon PRO W7900 | $3,5993 listings | 0.0% | 48 | 864 | 123 | 123 | 295 | ROCm | |
| Radeon RX 7900 XTX | $1,39922 listings | -0.1% | 24 | 960 | 123 | 123 | 355 | ROCm | |
| Radeon RX 7900 XT | $87019 listings | +2.4% | 20 | 800 | 103 | 103 | 315 | ROCm | |
| $449116 listings | -0.2% | 12 | 360 | 51 | 101.9 | 170 | CUDA | ||
| Radeon RX 6950 XT | $69016 listings | +1.5% | 16 | 576 | 47.3 | 94.6 | 335 | ROCm | |
| Instinct MI100 | $1,5037 listings | +0.2% | 32 | 1,229 | 92.3 | 92.3 | 300 | ROCm | |
| Radeon PRO W7800 | $1,7993 listings | -10.0% | 32 | 576 | 90.4 | 90.4 | 260 | ROCm | |
| Radeon RX 7800 XT | $65026 listings | 0.0% | 16 | 624 | 74.7 | 74.7 | 263 | ROCm | |
| Ryzen AI Max+ 395 128GB | $3,87522 listings | -0.6% | 128 | 256 | 59.4 | 59.4 | 120 | ROCm | |
| $41023 listings | -2.4% | 16 | 900 | 112 | 56.1 | 250 | CUDA | ||
| $1,02112 listings | 0.0% | 32 | 900 | 112 | 56.1 | 250 | CUDA | ||
| Instinct MI50 32GB | $7344 listings | 0.0% | 32 | 1,024 | 26.5 | 53 | 300 | ROCm | |
| $39016 listings | +1.6% | 24 | 347 | — | 47 | 250 | CUDA | ||
| Mac Studio M3 Ultra 512GB | $22,99913 listings | 0.0% | 512 | 819 | — | — | 480 | Metal | |
| Mac Studio M4 Max 128GB | $6,0007 listings | +7.2% | 128 | 546 | — | — | 480 | Metal | |
| Mac Studio M5 Max 128GB | $7,1174 listings | +2.4% | 128 | 614 | — | — | 480 | Metal | |
| Mac Studio M5 Ultra 96GB | $7,4007 listings | 0.0% | 96 | 1,229 | — | — | 480 | Metal | |
| MacBook Pro M4 Max 128GB | $5,99916 listings | +10.1% | 128 | 546 | — | — | 140 | Metal | |
| MacBook Pro M5 Max 128GB | $7,20027 listings | +2.9% | 128 | 614 | — | — | 140 | Metal | |
| No price in this market | — | 84 | 1,398 | — | — | 600 | CUDA |
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| Spec | Price per stick | Price per GB | Max channels | Max bandwidth | Max memory |
|---|---|---|---|---|---|
| 16 GB | $225130 listings | $14.1 | 2 | 96 GB/s | 64 GB4 sticks × 16 GB |
| 32 GB | $49991 listings | $15.6 | 2 | 96 GB/s | 128 GB4 sticks × 32 GB |
| 32 GB | $1,38834 listings | $43.4 | 24 | 1,075.2 GB/s | 768 GB24 sticks × 32 GB |
| 64 GB | $2,66717 listings | $41.7 | 24 | 1,075.2 GB/s | 1,536 GB24 sticks × 64 GB |
How to choose a GPU for local LLMs
Find the right GPU for local LLMs. Compare VRAM, GPU prices and model memory requirements to choose hardware that fits your models and budget.
What is VRAM, and how much do you need?
VRAM is the fast memory on a graphics card. Local LLM inference needs space for model weights, the context (KV) cache and runtime buffers. Quantization can reduce weight memory, while longer prompts and more simultaneous users need additional memory. Once a model fits, generation speed comes down mostly to memory bandwidth.
Plan a local deployment
Choose a model and quantization, set the context length, and check both GPU memory and system RAM. CPU or expert offloading can make a large model fit with less VRAM, but it depends on RAM bandwidth and can be much slower. Check CUDA, ROCm or Metal support before buying hardware.
Read the rankings and price data
Compare VRAM capacity first, then bandwidth, power and software support. Our prices are median asking prices, not completed sales; sample counts, observation dates and stale-price labels help you judge their usefulness. Generation speeds on each GPU page are calibrated against public llama.cpp benchmarks.