The A100 40GB rents for 17% less per hour today — $1.48 against $1.79 — with 40 GB against 80 GB of memory.
Prices collected 2026-09-18 · 16 providers price both
Index median per GPU-hour, on-demand, per snapshot.
| A100 80GB | A100 40GB | |
|---|---|---|
| Median rental, per GPU-hour | $1.79 | $1.48 |
| Cheapest listing | $0.43 | $0.79 |
| Per month at 720 h | $1,289 | $1,066 |
| Providers pricing it | 37 | 16 |
| Memory | 80 GB HBM2e | 40 GB HBM2 |
| Memory bandwidth | 2,039 GB/s | 1,555 GB/s |
| GB of memory per $/hr | 44.7 | 27.0 |
| Architecture | Ampere | Ampere |
| Class | Datacenter | Datacenter |
| Released | 2020-11 | 2020-05 |
The cleanest comparison: 16 providers price both cards, so the difference is the GPU and nothing else. The A100 80GB is cheaper at 1 of them.
| Provider | A100 80GB | A100 40GB | A100 40GB premium |
|---|---|---|---|
| $1.21 | $0.89 | -26% | |
| $1.29 | $1.00 | -22% | |
| $1.31 | $1.19 | -9% | |
| $1.45 | $1.15 | -21% | |
| $1.49 | $1.54 | +3% | |
| $1.49 | $0.89 | -40% | |
| $1.74 | $1.26 | -28% | |
| $1.76 | $1.42 | -19% | |
| $1.79 | $1.09 | -39% | |
| $2.10 | $2.00 | -5% | |
| $2.50 | $2.10 | -16% | |
| $2.71 | $2.19 | -19% | |
| $2.79 | $1.99 | -29% | |
| $3.43 | $2.74 | -20% | |
| $3.67 | $3.40 | -7% | |
| $4.00 | $3.05 | -24% |
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 | A100 80GB | A100 40GB |
|---|---|---|---|
| Kimi K3 | 4-bit | 22× GPU$39.38/hr | 44× GPU$65.12/hr |
| Kimi K3 | 16-bit | 78× GPU$139.62/hr | 156× GPU$230.88/hr |
| DeepSeek V4.1-Flash | 4-bit | 5× GPU$8.95/hr | 9× GPU$13.32/hr |
| DeepSeek V4.1-Flash | 16-bit | 16× GPU$28.64/hr | 31× GPU$45.88/hr |
| Llama 4 Maverick | 4-bit | 4× GPU$7.16/hr | 7× GPU$10.36/hr |
| Llama 4 Maverick | 16-bit | 12× GPU$21.48/hr | 23× GPU$34.04/hr |
| gpt-oss-120b | 4-bit | ✓ 67.9 GB~569 tok/s · $0.87/M | 2× GPU$2.96/hr |
| gpt-oss-120b | 16-bit | 4× GPU$7.16/hr | 7× GPU$10.36/hr |
| Llama 3.1 70B | 4-bit | ✓ 44.5 GB~41 tok/s · $12.13/M | 2× GPU$2.96/hr |
| Llama 3.1 70B | 16-bit | 3× GPU$5.37/hr | 5× GPU$7.40/hr |
| Gemma 4 31B | 4-bit | ✓ 21.2 GB~94 tok/s · $5.29/M | ✓ 21.2 GB~71 tok/s · $5.79/M |
| Gemma 4 31B | 16-bit | ✓ 65.7 GB~26 tok/s · $19.12/M | 2× GPU$2.96/hr |
| Qwen3 Coder 30B-A3B | 4-bit | ✓ 19 GB~879 tok/s · $0.57/M | ✓ 19 GB~670 tok/s · $0.61/M |
| Qwen3 Coder 30B-A3B | 16-bit | ✓ 62.9 GB~247 tok/s · $2.01/M | 2× GPU$2.96/hr |
| Qwen3.8 27B | 4-bit | ✓ 18.7 GB~107 tok/s · $4.65/M | ✓ 18.7 GB~82 tok/s · $5.01/M |
| Qwen3.8 27B | 16-bit | ✓ 57.6 GB~30 tok/s · $16.57/M | 2× GPU$2.96/hr |
| gpt-oss-20b | 4-bit | ✓ 13.7 GB~806 tok/s · $0.62/M | ✓ 13.7 GB~614 tok/s · $0.67/M |
| gpt-oss-20b | 16-bit | ✓ 43.9 GB~227 tok/s · $2.19/M | 2× GPU$2.96/hr |
| Llama 3.1 8B | 4-bit | ✓ 6.9 GB~362 tok/s · $1.37/M | ✓ 6.9 GB~276 tok/s · $1.49/M |
| Llama 3.1 8B | 16-bit | ✓ 18.4 GB~102 tok/s · $4.87/M | ✓ 18.4 GB~78 tok/s · $5.27/M |
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 A100 80GB has a market median of $1.79 per GPU-hour across 37 providers and the A100 40GB $1.48 across 16, so the A100 40GB is 17% cheaper per hour. Among the 16 providers that price both, the A100 80GB is cheaper at 1 and the A100 40GB at 15. 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 A100 80GB that is one card at $1.79/hr; on the A100 40GB 2 cards at $2.96/hr.
80 GB HBM2e at 2,039 GB/s (Ampere) against 40 GB HBM2 at 1,555 GB/s (Ampere). 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.