The RTX 4080 rents for 43% less per hour today — $0.31 against $0.53 — same 16 GB of memory, 717 vs 960 GB/s.
Prices collected 2026-09-18 · 5 providers price both
Index median per GPU-hour, on-demand, per snapshot.
| RTX 5080 | RTX 4080 | |
|---|---|---|
| Median rental, per GPU-hour | $0.53 | $0.31 |
| Cheapest listing | $0.26 | $0.15 |
| Per month at 720 h | $385 | $220 |
| Providers pricing it | 5 | 6 |
| Memory | 16 GB GDDR7 | 16 GB GDDR6X |
| Memory bandwidth | 960 GB/s | 717 GB/s |
| GB of memory per $/hr | 29.9 | 52.5 |
| Architecture | Blackwell | Ada Lovelace |
| Class | Consumer | Consumer |
| Released | 2025-01 | 2022-11 |
The cleanest comparison: 5 providers price both cards, so the difference is the GPU and nothing else. The RTX 5080 is cheaper at 0 of them.
| Provider | RTX 5080 | RTX 4080 | RTX 4080 premium |
|---|---|---|---|
| $0.26 | $0.23 | -12% | |
| $0.39 | $0.27 | -31% | |
| $0.53 | $0.36 | -33% | |
| $0.59 | $0.50 | -15% | |
| $0.67 | $0.34 | -49% |
Weights + KV cache at 8K context + overhead against 90% of each card's memory. Where a model needs more than one card the cell says how many and prices the set at today's median. $/M tokens is the hourly median divided by estimated single-stream output, from memory bandwidth — an estimate for ranking, not a benchmark.
| Model | Bits | RTX 5080 | RTX 4080 |
|---|---|---|---|
| Kimi K3 | 4-bit | 110× GPU$58.84/hr | 110× GPU$33.55/hr |
| Kimi K3 | 16-bit | 390× GPU$208.61/hr | 390× GPU$118.95/hr |
| DeepSeek V4.1-Flash | 4-bit | 22× GPU$11.77/hr | 22× GPU$6.71/hr |
| DeepSeek V4.1-Flash | 16-bit | 77× GPU$41.19/hr | 77× GPU$23.49/hr |
| Llama 4 Maverick | 4-bit | 16× GPU$8.56/hr | 16× GPU$4.88/hr |
| Llama 4 Maverick | 16-bit | 56× GPU$29.95/hr | 56× GPU$17.08/hr |
| gpt-oss-120b | 4-bit | 5× GPU$2.67/hr | 5× GPU$1.53/hr |
| gpt-oss-120b | 16-bit | 17× GPU$9.09/hr | 17× GPU$5.19/hr |
| Llama 3.1 70B | 4-bit | 4× GPU$2.14/hr | 4× GPU$1.22/hr |
| Llama 3.1 70B | 16-bit | 11× GPU$5.88/hr | 11× GPU$3.36/hr |
| Gemma 4 31B | 4-bit | 2× GPU$1.07/hr | 2× GPU$0.61/hr |
| Gemma 4 31B | 16-bit | 5× GPU$2.67/hr | 5× GPU$1.53/hr |
| Qwen3 Coder 30B-A3B | 4-bit | 2× GPU$1.07/hr | 2× GPU$0.61/hr |
| Qwen3 Coder 30B-A3B | 16-bit | 5× GPU$2.67/hr | 5× GPU$1.53/hr |
| Qwen3.8 27B | 4-bit | 2× GPU$1.07/hr | 2× GPU$0.61/hr |
| Qwen3.8 27B | 16-bit | 4× GPU$2.14/hr | 4× GPU$1.22/hr |
| gpt-oss-20b | 4-bit | ✓ 13.7 GB~379 tok/s · $0.39/M | ✓ 13.7 GB~283 tok/s · $0.3/M |
| gpt-oss-20b | 16-bit | 4× GPU$2.14/hr | 4× GPU$1.22/hr |
| Llama 3.1 8B | 4-bit | ✓ 6.9 GB~171 tok/s · $0.87/M | ✓ 6.9 GB~127 tok/s · $0.67/M |
| Llama 3.1 8B | 16-bit | 2× GPU$1.07/hr | 2× GPU$0.61/hr |
Hours of renting at today's median that add up to the card's approximate list price. List prices are typical quoted figures, not tracked, and do not include the server, power or the person to run it — so the break-even is a floor, not a verdict.
On 2026-09-18 the RTX 5080 has a market median of $0.53 per GPU-hour across 5 providers and the RTX 4080 $0.30 across 6, so the RTX 4080 is 43% cheaper per hour. Among the 5 providers that price both, the RTX 5080 is cheaper at 0 and the RTX 4080 at 5. Per hour is only half the answer — the table below prices a whole model on each.
At 4-bit, Llama 3.1 70B needs about 44.5 GB. On the RTX 5080 that is 4 cards at $2.14/hr; on the RTX 4080 4 cards at $1.22/hr.
16 GB GDDR7 at 960 GB/s (Blackwell) against 16 GB GDDR6X at 717 GB/s (Ada Lovelace). Memory decides what fits; bandwidth decides how fast it generates, because each token streams the active weights once. Compute matters for prompt processing and training, not for how fast text appears.