NVIDIA · Ada Lovelace · 12 GB · Qwen3.8 27B · Q4_K_M at 8K context: ~5.2 tok/s with RAM offload
NVIDIA GeForce RTX 4070 12GB
The efficient 12 GB Ada card: 200 W, FP8 tensor cores, 504 GB/s. An 8B model at Q8 or a 14B at Q4 fits; slower than a 3080 Ti but it sips power and is still sold new.
Lowest price right now
$569.99
eBay · free shipping · $47 per GB · observed 2026-11-14 18:37 UTC
Buy the cheapest on eBay, $569.99
free shipping · New · newegg 1,087,106 · 99.6%
Or rent one from $0.10 an hour
Price alert
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Price history
Daily low across every tracked vendor, last 6 days.
Where to buy
| Vendor | Price | Condition | Observed | |
|---|---|---|---|---|
| eBay cheapest active listing |
$569.99 free shipping |
new and used | 2026-11-14 18:37 UTC | Go to eBay |
On eBay now
21 listings passed our filters at the last check, 7 min ago. We check every 28 minutes. Cheapest delivered first. Seller reputation is feedback count and positive rate.
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$569.99free shipping -
$664.97free shipping -
$675free shipping -
$677.62$660 + $17.62 shipping -
$689.90free shipping -
$689.99free shipping
Rent one by the hour
Try it before you buy, or skip buying: the cheapest on-demand price for one RTX 4070 in the cloud right now, checked every hour.
| Cloud | Per hour | Listed as | Available | |
|---|---|---|---|---|
| Vast.ai | $0.10 | RTX 4070 | 7 verified offers | Rent on Vast.ai |
At $0.10 an hour on Vast.ai, the $569.99 a used one costs on eBay buys about 6,000 hours of rental: 8 months around the clock, or 2.1 years at 8 hours a day. Use it more than that and buying comes out ahead; your power bill pushes that point later, resale value pulls it earlier.
Rental prices for every card · Rental links are referral links: we earn a small share of what you spend, at no cost to you.
What it runs
For each model, grouped by vendor with the newest first: the largest quant that fits with 8K of context and the estimated speed for one user, at 8K and at 32K of context. On a card, a model too big for its memory can still run with part of the weights in system RAM; we assume 64 GB, and the speed shown accounts for it. The model you picked on the ladder is highlighted. Estimates from the spec sheet, not measurements: see how we estimate.
| Model | Quant | Needs at 8K | Fit | Max context | Decode at 8K | At 32K | Prefill tok/s |
|---|---|---|---|---|---|---|---|
| DeepSeek | |||||||
| DeepSeek V4.1 Flash 552B-A16B Sep 2026 | Q4_K_M | 338 GB | does not fit | ||||
| DeepSeek V4 Flash 284B-A13B Jul 2026 | Q4_K_M | 175 GB | does not fit | ||||
| DeepSeek V3.1 671B-A37B Aug 2025 | Q4_K_M | 411 GB | does not fit | ||||
| Gemma | |||||||
| Gemma 4 12B May 2026 | Q6_K | 11 GB | fits | 41K | ~33 | ~32 | ~850 |
| Gemma 4 31B Mar 2026 | IQ2_M | 13 GB | fits, short context | 756 | ~31 | ~330 | |
| Gemma 4 26B-A4B Mar 2026 | IQ2_M | 10 GB | fits | 92K | ~130 | ~110 | ~2,700 |
| Gemma 3 27B Mar 2025 | IQ2_M | 11 GB | fits | 14K | ~33 | ~370 | |
| GLM | |||||||
| GLM-5.3 753B-A40B Aug 2026 | Q4_K_M | 462 GB | does not fit | ||||
| GLM-5.3 Flash 320B-A18B Aug 2026 | Q4_K_M | 197 GB | does not fit | ||||
| GLM-4.6 355B-A32B Sep 2025 | Q4_K_M | 221 GB | does not fit | ||||
| GLM-4.5 Air 106B-A12B Jul 2025 | Q4_K_M | 68 GB | runs with 56 GB in system RAM | ~6.0 | ~430 | ||
| gpt-oss | |||||||
| gpt-oss-120b Aug 2025 | Q3_K_M | 59 GB | runs with 48 GB in system RAM | ~17 | ~15 | ~1,000 | |
| gpt-oss-20b Aug 2025 | IQ2_M | 9 GB | fits | 66K | ~120 | ~82 | ~2,800 |
| Llama | |||||||
| Llama 4 Scout 109B-A17B Apr 2025 | Q3_K_M | 57 GB | runs with 45 GB in system RAM | ~5.4 | ~4.7 | ~300 | |
| Llama 3.3 70B Dec 2024 | Q4_K_M | 47 GB | runs with 36 GB in system RAM | ~1.1 | ~72 | ||
| Llama 3.1 8B Jul 2024 | Q8_0 | 11 GB | fits | 15K | ~34 | ~1,300 | |
| MiMo | |||||||
| MiMo V2.6 Pro 1.02T-A42B Sep 2026 | Q4_K_M | 624 GB | does not fit | ||||
| MiMo V2.6 Flash 309B-A15B Sep 2026 | Q4_K_M | 190 GB | does not fit | ||||
| Mistral | |||||||
| Mistral Medium 3.5 128B Mar 2026 | Q3_K_M | 67 GB | runs with 56 GB in system RAM | ~0.7 | ~40 | ||
| Mistral Small 4 119B-A6.5B Mar 2026 | Q3_K_M | 65 GB | runs with 53 GB in system RAM | ~11 | ~780 | ||
| Mistral Small 3.2 24B Jun 2025 | IQ2_M | 11 GB | fits | 13K | ~34 | ~430 | |
| Nemotron | |||||||
| Nemotron 3.5 Lightning 30B-A3B Aug 2026 | Q4_K_M | 21 GB | runs with 9 GB in system RAM | ~32 | ~31 | ~1,500 | |
| Qwen | |||||||
| Qwen3.8 Flash-Next 125B-A6B Aug 2026 | Q3_K_M | 63 GB | runs with 51 GB in system RAM | ~15 | ~15 | ~850 | |
| Qwen3.8 27B Aug 2026 (your pick) | IQ2_M | 11 GB | fits | 19K | ~34 | ~380 | |
| Qwen3.6 27B Apr 2026 | IQ2_M | 11 GB | fits | 19K | ~34 | ~380 | |
| Qwen3.6 35B-A3B Apr 2026 | Q4_K_M | 23 GB | runs with 12 GB in system RAM | ~33 | ~31 | ~1,700 | |
| Qwen3.5 9B Feb 2026 | Q8_0 | 11 GB | fits | 28K | ~33 | ~1,100 | |
| Qwen3 Coder 480B-A35B Jul 2025 | Q4_K_M | 296 GB | does not fit | ||||
| Qwen3 235B-A22B Jul 2025 | Q4_K_M | 146 GB | does not fit | ||||
| Qwen3 32B Apr 2025 | Q4_K_M | 24 GB | runs with 12 GB in system RAM | ~3.1 | ~2.1 | ~160 | |
Specifications
- Memory
- 12 GB GDDR6X
- Memory bandwidth
- 504 GB/s
- Bus width
- 192-bit
- Shader cores
- 5,888
- Tensor cores
- 184
- FP32
- 29.1 TFLOPS
- FP16 (dense)
- 58 TFLOPS
- FP8 (dense)
- 117 TFLOPS
- Power
- 200 W
- Form factor
- Dual slot, full height
- Interface
- PCIe 4.0 x16
- Architecture
- Ada Lovelace
- Launched
- 2023
- MSRP
- $599
Source: manufacturer specifications.