Qwen 3.7 Max vs GPT-5.2
Alibaba (Qwen) against OpenAI, costed on the same three workloads. Neither is cheaper everywhere — which one wins depends on how much you read versus write.
Monthly bill, side by side
| Workload | Qwen 3.7 Max | GPT-5.2 | Difference |
|---|---|---|---|
| Support chatbot 2,500 six-turn conversations a day |
$8,044 | $9,174 | $1,131 (+14%) |
| Document summariser 1,000 single-shot summaries a day |
$1,095 | $977 | $118 (+12%) |
| Coding agent 200 twelve-turn sessions a day |
$6,120 | $5,859 | $261 (+4%) |
No prompt caching and no batch discount on either side, so the comparison is like for like. Both figures assume 30 days a month.
The rate cards
| Qwen 3.7 Max | GPT-5.2 | |
|---|---|---|
| Input, per 1M tokens | $2.5 | $1.75 |
| Output, per 1M tokens | $7.5 | $14 |
| Cached input | $0.5 | $0.175 |
| Context window | 992K | 272K |
| Maximum output | 66K | 128K |
| Reasoning model | yes | yes |
| Vision | no | yes |
Run this comparison on your own numbers
Full detail: Qwen 3.7 Max pricing · GPT-5.2 pricing