QwQ 32B
AI model by Alibaba. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. QwQ 32B is a budget-tier option from Alibaba at $1.00/M output tokens. Despite the low price, it scores competitively on measurable benchmarks — making it a candidate for high-volume production workloads where unit cost dominates.
Cost model. For a workload of 1M input tokens + 100K output tokens, QwQ 32B costs $0.76 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
QwQ 32BCurrent | $0.66 | $1.00 | — |
| DeepSeek V3.1 Terminus (Non-reasoning) | $0.27 | $1.00 | — |
| GLM-4.5-Air | $0.17 | $0.98 | 43 tok/s |
| Llama 4 Maverick | $0.26 | $0.91 | 96 tok/s |
| GLM-4.6V (Non-reasoning) | $0.30 | $0.90 | 73 tok/s |
| Agnes 2.5 Pro Alpha | $0.45 | $0.90 | 130 tok/s |