Qwen3 235B A22B Instruct 2507 FP8 Throughput.
1× AMD MI300.
Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.
Cheapest hosted endpoints.
| Provider | Access | $/M in | $/M out | |
|---|---|---|---|---|
| Together AI | hosted inference | $0.2 | $0.6 | Launch ↗ |
Frequently asked.
How do I run Qwen3 235B A22B Instruct 2507 FP8 Throughput?
Where can I access Qwen3 235B A22B Instruct 2507 FP8 Throughput?
How much does it cost to run Qwen3 235B A22B Instruct 2507 FP8 Throughput?
Is Qwen3 235B A22B Instruct 2507 FP8 Throughput open-source or proprietary?
Cheapest hardware per quantisation.
Each row is one quantisation tier (the same weights compressed differently). Lower precision → lower VRAM → cheaper hardware, at the cost of small accuracy loss. $/hr refreshed hourly from each provider's API.
| Quantisation | Cheapest GPU config | Total VRAM | Live $/hr | tokens/sec | |
|---|---|---|---|---|---|
|
FP16
FP16 — half precision (default)
|
768 GB | — | — | Compare → | |
|
FP8
FP8 — 8-bit float (Hopper / Blackwell)
|
384 GB | — | — | Compare → | |
|
INT4
INT4 — 4-bit integer (~4× VRAM saving)
|
192 GB | — | — | Compare → |
What it costs per month across providers.
Estimate your monthly bill for Qwen3 235B A22B Instruct 2507 FP8 Throughput across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
Bill breakdown.
| Provider | Monthly total | |
|---|---|---|
| $3.2 | Sign up ↗ |
Rent the GPU instead of paying per token.
For an open-weights model like Qwen3 235B A22B Instruct 2507 FP8 Throughput, you can rent a GPU and serve inference yourself. The math: cheapest GPU rental × 730 hours/month + your electricity rate × power draw.
Assumes the GPU runs 24/7 at ~85% utilisation. If your traffic is bursty, you'll pay less for the API and probably more for the GPU (idle hours still cost rental). The breakeven analysis lives on the Self-host vs API breakeven tool.