qwq-32b-preview · Alibaba Qwen
Alibaba's 'Qwen with Questions' dedicated chain-of-thought reasoning model rivaling OpenAI o1 on math and code at $0.40/$1.20.
Last checked Aug 19, 2026. Calculations use the listed base rates; provider-specific tiers, cache writes, batch pricing, and long-context rules may differ. Confirm the current rate at the official provider source.
Input
$0.40
per 1M tokens
Output
$1.20
per 1M tokens
Cached input
$0.04
per 1M tokens
Context window
128K
max output 32.8K
QwQ 32B (Reasoner) cost calculator
What QwQ 32B (Reasoner) costs per task
| Use case | Input tokens | Output tokens | Cost / request | Monthly @ 1K req/day |
|---|---|---|---|---|
| Customer support chatbot | 3,500 | 350 | $0.000938 | $28.14 |
| RAG / search-augmented answers | 8,000 | 500 | $0.00236 | $70.80 |
| AI coding assistant | 12,000 | 2,000 | $0.004608 | $138.24 |
| Document summarization | 25,000 | 600 | $0.00982 | $294.60 |
| Agentic workflow | 40,000 | 1,500 | $0.00844 | $253.20 |
| Content generation | 800 | 1,200 | $0.001674 | $50.208 |
| Data extraction & tagging | 2,000 | 250 | $0.000956 | $28.68 |
| Translation | 5,000 | 5,500 | $0.00833 | $249.90 |
Assumes each use case's typical cacheable share of input. See full cost scenarios.
Compare with alternatives
| Model | Input /M | Output /M | Context | Chat request* |
|---|---|---|---|---|
| QwQ 32B (Reasoner) | $0.40 | $1.20 | 128K | $0.00184 |
| GPT-5.6 Sol | $5.00 | $30.00 | 1.1M | $0.035 |
| GPT-5.6 Terra | $2.00 | $12.00 | 1.1M | $0.014 |
| GPT-5.6 Luna | $0.20 | $1.20 | 1.1M | $0.0014 |
| GPT-5.6 Cyber | $12.50 | $75.00 | 1.1M | $0.0875 |
| GPT-5.5 Standard | $5.00 | $30.00 | 512K | $0.035 |
| GPT-5.5 Pro | $30.00 | $180.00 | 512K | $0.21 |
| GPT-5.4 Workhorse | $2.50 | $15.00 | 256K | $0.0175 |
| GPT-5.4 mini | $0.75 | $4.50 | 256K | $0.00525 |
*4,000 in + 800 out tokens, 50% cached input where available.
Related calculations
FAQ
QwQ 32B (Reasoner) costs $0.40 per 1M input tokens and $1.20 per 1M output tokens, with cached input at $0.04 per 1M tokens. Verified Aug 19, 2026 against https://www.alibabacloud.com/help/en/model-studio/developer-reference/what-is-qwen.
QwQ 32B (Reasoner) supports a 128,000-token context window with up to 32,768 output tokens per request, tokenized with qwen_bpe.
At $0.40/M input and $1.20/M output, QwQ 32B (Reasoner) sits below GPT-5.6 Sol ($5.00/M in, $30.00/M out) — see the comparison table for full-workload differences.