Models / Qwen3 235B A22B / Calculator

Qwen3 235B A22B cost & VRAM calculator

What does Qwen3 235B A22B cost to run for your workload, and can you run it on your own hardware? Set your workload below - we compute per-provider API cost live and tell you honestly whether local hardware can run it.

Your workload

Casual Power user Team of 5 Codebase task

Qwen3 235B A22B runs an always-on thinking mode. Reasoning (thinking) tokens are billed at the output rate ($15.00/M), so count them here to see the thinking portion of your bill.

API cost for your workload

Provider Rate ($/1M) Monthly cost
Alibaba avoid $0.46 in · $1.82 out $0.01 cheapest

Monthly cost is an estimate from list prices and your workload - verify against the provider before committing. Cached fraction applies the cache rate to that share of input.

Can you run it locally?

YES - IT RUNS ON HARDWARE YOU CAN BUY

Qwen3 235B A22B fits on individual rigs. Here's the hardware that runs it comfortably; the full per-quant VRAM matrix and tok/s estimates live on the model page.

4x H100 80GB (320GB) 320GB Q2_K
1156.3t/s
NVIDIA DGX Station 748GB 748GB Q2_K
690.3t/s
8x RTX 3090 rack (192GB) 192GB Q2_K
646.3t/s
4x RTX 5090 (128GB) 128GB Q2_K
618.5t/s
AMD Instinct MI300X (192GB) 192GB Q2_K
459.5t/s
4x RTX 4090 (96GB) 96GB Q2_K
347.9t/s
RTX PRO 6000 Blackwell (96GB) 96GB Q2_K
154.6t/s
Mac Studio M4 Ultra 192GB 192GB Q2_K
102.8t/s
Mac Studio M4 Ultra 512GB 512GB Q2_K
102.8t/s
MacBook Pro M5 Max 128GB 128GB Q2_K
57.8t/s
Dual EPYC 9004 + 768GB DDR5-4800 768GB Q2_K
39.8t/s
DGX Spark 128GB unified 128GB Q2_K
23.6t/s
Ryzen AI Max+ 395 128GB 128GB Q2_K
22.1t/s
Epyc + 512GB DDR4-3200 + 2x RTX 3090 560GB Q2_K
17.7t/s
Epyc + 512GB DDR4-2400 + 2x RTX 3090 560GB Q2_K
13.3t/s
Q2_K
68.0GB weights 68.0GB min 80.0GB rec
Q4_K_M
125.0GB weights 125.0GB min 140.0GB rec

Want the own-vs-rent payback (capex vs your monthly API bill)? The budget tool computes that against representative rigs.

Full model card API pricing table Generic token calculator