How far apart are GPU prices across providers?
We track 45 clouds and compute platforms with 166 priced model quotes. 14 of them publish specs but no price (quote-only) — itself one of the most useful things to know when buying. All prices normalised to CNY per GPU per hour, latest observation per provider per billing mode.
Data as of 2026-11-05 · model-level quotes (M), not transaction prices, not device listings
The same card, priced by every provider
| Model | Providers | Lowest | Median | Highest | Spread | Last |
|---|---|---|---|---|---|---|
| NVIDIA RTX4090 · 24G | 17/21 | ¥1.15 salad | ¥1.95 | ¥3.60 bingxing | 3.1× | 2026-11-05 |
| NVIDIA H100 · 80G | 15/28 | ¥11.09 jarvislabs | ¥18.83 | ¥32.40 nebius | 2.9× | 2026-11-05 |
| NVIDIA A100 · 80G | 15/23 | ¥6.41 jarvislabs | ¥10.67 | ¥20.09 lambda | 3.1× | 2026-11-05 |
| NVIDIA RTX5090 · 32G | 13/16 | ⚑¥1.53 vast | ¥3.25 | ¥5.50 bingxing | 3.6× | 2026-11-05 |
| NVIDIA RTX3090 · 24G | 13/14 | ¥0.65 salad | ¥1.20 | ⚑¥3.30 bingxing | 5.1× | 2026-11-05 |
| NVIDIA L40S · 48G | 10/15 | ¥4.54 cloudrift | ¥6.95 | ¥12.03 vultr | 2.6× | 2026-11-05 |
| NVIDIA H200 · 141G | 9/15 | ¥16.49 jarvislabs | ¥27.39 | ¥38.88 nebius | 2.4× | 2026-11-05 |
| NVIDIA A6000 · 48G | 8/14 | ¥2.38 runpod | ¥3.04 | ⚑¥7.85 lambda | 3.3× | 2026-11-05 |
| NVIDIA RTXPRO6000 · 96G | 7/13 | ¥7.35 autodl | ¥12.98 | ¥15.77 massed | 2.1× | 2026-11-05 |
| NVIDIA B200 · 180G | 6 | ¥32.25 verda | ¥43.13 | ¥61.20 nebius | 1.9× | 2026-11-05 |
| NVIDIA A800 · 80G | 5 | ¥5.15 chenjian | ¥7.36 | ¥8.40 autodl | 1.6× | 2026-11-02 |
| NVIDIA L40 · 48G | 4/7 | ¥4.50 gongji | ¥5.33 | ¥6.19 massed | 1.4× | 2026-11-05 |
| NVIDIA V100 · 16G | 4/7 | ¥0.86 verda | ¥1.58 | ⚑¥5.69 lambda | 6.6× | 2026-11-05 |
| NVIDIA L4 · 24G | 3/4 | ¥2.09 jarvislabs | ¥3.17 | ¥4.10 bingxing | 2.0× | 2026-11-05 |
Top 14 models by priced-offer count. The provider is shown next to the price; where the provider count reads "18/25", the denominator is every provider we track quoting that model and the numerator is those that actually publish a price. Spread = highest / lowest. The same model can differ several-fold between providers, which is why "what does an H100 cost per hour" has no single answer — only "which provider, which form factor, which billing mode".
Provider overview: who prices, who quotes
| Provider | Models | Priced | Range | Median | Regions | Last |
|---|---|---|---|---|---|---|
| runpod | 45 | 15 | ¥1.37 – ¥43.06 | ¥4.97 | 北美 | 2026-11-05 |
| akash | 23 | 0 | 未公开报价 | — | — | 2026-11-05 |
| gongji | 18 | 18 | ¥1.98 – ¥35.00 | ¥7.60 | 中国 | 2026-11-02 |
| prime-intellect | 17 | 0 | 未公开报价 | — | united_states · eu_north +1 | 2026-11-05 |
| verda | 12 | 9 | ¥0.86 – ¥32.25 | ¥8.17 | 欧洲 · helsinki-finland-1 · helsinki-finland-3 +1 | 2026-11-05 |
| autodl | 11 | 11 | ¥1.39 – ¥10.50 | ¥2.93 | 中国 | 2026-11-05 |
| massedcompute | 10 | 0 | 未公开报价 | — | desmoines-usa-1 · wichita-usa-1 +3 | 2026-11-05 |
| bingxing | 9 | 9 | ¥3.10 – ¥16.16 | ¥4.10 | 中国 | 2026-11-01 |
| massed | 9 | 9 | ¥4.10 – ¥39.11 | ¥9.72 | 北美 | 2026-11-02 |
| excesssupply | 9 | 0 | 未公开报价 | — | oslo-norway-3 · casper-usa-2 +6 | 2026-11-05 |
| lambdalabs | 9 | 0 | 未公开报价 | — | chicago-usa-2 · atlanta-usa-3 +4 | 2026-11-05 |
| hyperstack | 8 | 5 | ¥11.52 – ¥43.20 | ¥18.00 | 欧洲 · montreal-canada-2 · oslo-norway-1 | 2026-11-05 |
| paperspace ⚠ | 8 | 0 | held 3 | — | 北美 · amsterdam-netherlands-1 · newyork-usa-1 | 2026-11-05 |
| crusoe | 7 | 5 | ¥10.80 – ¥30.89 | ¥24.84 | 北美 · fairview-usa-1 | 2026-11-05 |
| nebius | 7 | 5 | ¥11.16 – ¥61.20 | ¥32.40 | 欧洲 · helsinki-finland-3 · woodbury-usa-1 +1 | 2026-11-05 |
| tensordock | 6 | 6 | ¥1.44 – ¥16.20 | ¥3.67 | 北美 | 2026-11-01 |
| suanjiayun | 6 | 6 | ¥1.14 – ¥9.80 | ¥1.96 | 中国 | 2026-10-30 |
| gpushare | 6 | 6 | ¥0.76 – ¥6.66 | ¥4.03 | 中国 | 2026-11-05 |
| compshare | 6 | 6 | ¥1.19 – ¥10.75 | ¥5.36 | 中国 | 2026-11-02 |
| boostrun | 6 | 0 | 未公开报价 | — | raleigh-usa-1 · dallas-usa-4 +2 | 2026-11-05 |
| azure | 6 | 0 | 未公开报价 | — | italynorth · koreacentral +2 | 2026-11-05 |
| jarvislabs | 5 | 10 | ¥2.09 – ¥33.05 | ¥10.91 | 亚太 | 2026-11-02 |
| matpool | 5 | 5 | ¥1.35 – ¥2.99 | ¥2.20 | 中国 | 2026-11-02 |
| lambda | 5 | 5 | ¥5.69 – ¥48.89 | ¥20.09 | 北美 | 2026-11-02 |
| digitalocean | 5 | 0 | 未公开报价 | — | newyork-usa-2 · toronto-canada-1 +1 | 2026-11-05 |
| vast | 4 | 4 | ¥0.87 – ¥16.82 | ¥1.64 | 北美 | 2026-11-05 |
| cloudrift | 4 | 4 | ¥1.80 – ¥4.68 | ¥3.67 | 北美 | 2026-11-02 |
| thunder | 4 | 4 | ¥2.52 – ¥23.04 | ¥6.77 | 北美 | 2026-11-02 |
| gcore | 4 | 4 | ¥9.91 – ¥24.80 | ¥15.95 | 欧洲 | 2026-11-02 |
| vultr | 4 | 1 | ¥12.03 – ¥12.03 | ¥12.03 | 北美 · london-uk-1 · frankfurt-germany-6 +1 | 2026-11-05 |
| latitude | 4 | 1 | ¥12.10 – ¥12.10 | ¥12.10 | 北美 · frankfurt-germany-5 · ashburn-usa-7 +1 | 2026-11-05 |
| denvr | 4 | 0 | 未公开报价 | — | houston-usa-1 · calgary-canada-1 | 2026-11-05 |
| scaleway | 4 | 0 | 未公开报价 | — | warsaw-poland-1 · paris-france-1 | 2026-11-05 |
| chenjian | 3 | 3 | ¥0.80 – ¥5.15 | ¥1.38 | 中国 | 2026-11-02 |
| salad | 3 | 3 | ¥0.65 – ¥1.80 | ¥1.15 | 北美 | 2026-11-02 |
| ppio | 3 | 3 | ¥1.16 – ¥11.88 | ¥3.40 | 中国 | 2026-11-02 |
| aistation | 3 | 3 | ¥1.10 – ¥3.16 | ¥1.65 | 中国 | 2026-11-02 |
| imwt | 3 | 0 | 未公开报价 | — | desmoines-usa-4 · desmoines-usa-2 +1 | 2026-11-05 |
| jygpu | 2 | 2 | ¥1.90 – ¥2.97 | ¥2.44 | 中国 | 2026-11-05 |
| linode | 2 | 2 | ¥3.74 – ¥10.80 | ¥7.27 | 北美 | 2026-11-02 |
| phyntec | 2 | 0 | 未公开报价 | — | casper-usa-1 | 2026-11-05 |
| horizon | 2 | 0 | 未公开报价 | — | blonduos-iceland-2 · blonduos-iceland-3 | 2026-11-05 |
| lanyun | 1 | 1 | ¥2.30 – ¥2.30 | ¥2.30 | 中国 | 2026-11-01 |
| featurize | 1 | 1 | ¥1.62 – ¥1.62 | ¥1.62 | 中国 | 2026-11-02 |
| voltagepark | 1 | 0 | 未公开报价 | — | dallas-usa-5 | 2026-11-05 |
"No public price" is not a data gap — those providers are quote-only by business model. They are listed because the usual procurement mistake is assuming a provider is expensive when there was never a public price to compare. "Priced" counts platform × model × billing mode, so a model offered both on-demand and spot counts twice and the number can exceed "Models".
One more thing that gets misread: a provider with few models here does not have few machines. This table counts only model-level public quotes; per-machine listings are a separate caliber — 5,618 real machines are currently listed on vast.ai / Clore.ai and are counted per device, not here. vast shows only 4 models precisely because it publishes per-machine offers instead of model quotes. Both numbers are useful; they just cannot be added.
China vs overseas: median by model
| Model | China median | Overseas median | Gap | Direction |
|---|---|---|---|---|
| NVIDIA RTX4090 · 24G | ¥1.94 | ¥2.45 | -21% | China cheaper |
| NVIDIA RTX3090 · 24G | ¥1.20 | ¥1.16 | +4% | China pricier |
| NVIDIA RTX5090 · 32G | ¥3.21 | ¥4.10 | -22% | China cheaper |
| NVIDIA A100 · 80G | ¥10.75 | ¥10.61 | +1% | China pricier |
| NVIDIA H100 · 80G | ¥17.19 | ¥18.83 | -9% | China cheaper |
| NVIDIA A6000 · 48G | ¥2.96 | ¥3.13 | -5% | China cheaper |
| NVIDIA L40S · 48G | ¥5.03 | ¥8.45 | -40% | China cheaper |
| NVIDIA RTXPRO6000 · 96G | ¥10.18 | ¥13.14 | -23% | China cheaper |
Only models with 2+ priced offers on both sides. A single offer is not a median. Domestic prices typically bundle local bandwidth and compliance; overseas prices usually exclude connectivity back to mainland China — comparing sticker prices alone misses that.
What this table can and cannot do
② Cannot: be the sole basis of a purchase — quotes exclude storage, egress, redundancy and SLA, and do not guarantee you can actually rent at that price.
③ Cannot: be added to device-level listings. A model quote is "the provider says this card is worth this"; a device listing is "this machine is on offer at this price". Different subjects.
④ Caliber: latest observation per provider, per model, per billing mode, and a newer price-less record never overwrites an older priced one; all amounts in CNY as published (no FX conversion). Rows split by model + VRAM — A100 40G and 80G are different price tiers, and mixing them manufactures a fake "same card, 5.8x apart" finding; within one VRAM size we do not split SXM / PCIe / NVL, because most providers write just "H100" with no form factor and splitting would only scatter the quotes.
⑤ Two marks: ⚑ means the quote falls outside 0.5–2x of the median (flagged, still counted, judgment stays with you); ⚠ means we verified that provider's quotes are an upstream mapping error and excluded the provider from the statistics entirely. We record what upstream publishes, but saying which row to doubt is this page's job — a price table that hides what to distrust costs more than no table at all.