The L4 rents for 38% less per hour today — $0.80 against $1.29 — same 24 GB of memory, 300 vs 600 GB/s.
Prices collected 2026-09-18 · 4 providers price both
Index median per GPU-hour, on-demand, per snapshot.
| A10 | L4 | |
|---|---|---|
| Median rental, per GPU-hour | $1.29 | $0.80 |
| Cheapest listing | $1.00 | $0.32 |
| Per month at 720 h | $929 | $575 |
| Providers pricing it | 7 | 19 |
| Memory | 24 GB GDDR6 | 24 GB GDDR6 |
| Memory bandwidth | 600 GB/s | 300 GB/s |
| GB of memory per $/hr | 18.6 | 30.0 |
| Architecture | Ampere | Ada Lovelace |
| Class | Datacenter | Datacenter |
| Released | 2021-04 | 2023-03 |
The cleanest comparison: 4 providers price both cards, so the difference is the GPU and nothing else. The A10 is cheaper at 0 of them.
| Provider | A10 | L4 | L4 premium |
|---|---|---|---|
| $1.00 | $1.00 | 0% | |
| $1.10 | $0.80 | -27% | |
| $1.10 | $0.80 | -27% | |
| $1.42 | $1.05 | -26% |
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 | A10 | L4 |
|---|---|---|---|
| Kimi K3 | 4-bit | 74× GPU$95.46/hr | 74× GPU$59.14/hr |
| Kimi K3 | 16-bit | 260× GPU$335.40/hr | 260× GPU$207.79/hr |
| DeepSeek V4.1-Flash | 4-bit | 15× GPU$19.35/hr | 15× GPU$11.99/hr |
| DeepSeek V4.1-Flash | 16-bit | 52× GPU$67.08/hr | 52× GPU$41.56/hr |
| Llama 4 Maverick | 4-bit | 11× GPU$14.19/hr | 11× GPU$8.79/hr |
| Llama 4 Maverick | 16-bit | 38× GPU$49.02/hr | 38× GPU$30.37/hr |
| gpt-oss-120b | 4-bit | 4× GPU$5.16/hr | 4× GPU$3.20/hr |
| gpt-oss-120b | 16-bit | 11× GPU$14.19/hr | 11× GPU$8.79/hr |
| Llama 3.1 70B | 4-bit | 3× GPU$3.87/hr | 3× GPU$2.40/hr |
| Llama 3.1 70B | 16-bit | 7× GPU$9.03/hr | 7× GPU$5.59/hr |
| Gemma 4 31B | 4-bit | ✓ 21.2 GB~28 tok/s · $12.8/M | ✓ 21.2 GB~14 tok/s · $15.86/M |
| Gemma 4 31B | 16-bit | 4× GPU$5.16/hr | 4× GPU$3.20/hr |
| Qwen3 Coder 30B-A3B | 4-bit | ✓ 19 GB~259 tok/s · $1.38/M | ✓ 19 GB~129 tok/s · $1.72/M |
| Qwen3 Coder 30B-A3B | 16-bit | 3× GPU$3.87/hr | 3× GPU$2.40/hr |
| Qwen3.8 27B | 4-bit | ✓ 18.7 GB~32 tok/s · $11.2/M | ✓ 18.7 GB~16 tok/s · $13.88/M |
| Qwen3.8 27B | 16-bit | 3× GPU$3.87/hr | 3× GPU$2.40/hr |
| gpt-oss-20b | 4-bit | ✓ 13.7 GB~237 tok/s · $1.51/M | ✓ 13.7 GB~119 tok/s · $1.87/M |
| gpt-oss-20b | 16-bit | 3× GPU$3.87/hr | 3× GPU$2.40/hr |
| Llama 3.1 8B | 4-bit | ✓ 6.9 GB~107 tok/s · $3.35/M | ✓ 6.9 GB~53 tok/s · $4.19/M |
| Llama 3.1 8B | 16-bit | ✓ 18.4 GB~30 tok/s · $11.94/M | ✓ 18.4 GB~15 tok/s · $14.8/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 A10 has a market median of $1.29 per GPU-hour across 7 providers and the L4 $0.80 across 19, so the L4 is 38% cheaper per hour. Among the 4 providers that price both, the A10 is cheaper at 0 and the L4 at 4. 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 A10 that is 3 cards at $3.87/hr; on the L4 3 cards at $2.40/hr.
24 GB GDDR6 at 600 GB/s (Ampere) against 24 GB GDDR6 at 300 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.