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.
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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 summarizer 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 |
Beyond the price
- Qwen 3.7 Max reads up to 992K tokens of context in one request; GPT-5.2 stops at 272K.
- GPT-5.2 can write up to 128K tokens in one response, against 66K for Qwen 3.7 Max.
- Only GPT-5.2 accepts images as input.
- Cached input costs 80% less than fresh input on Qwen 3.7 Max and 90% less on GPT-5.2, which matters most for workloads that resend the same prompt.
Run this comparison on your own numbers
Full detail: Qwen 3.7 Max pricing · GPT-5.2 pricing
More comparisons
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- GPT-5.2 vs Gemini 3.1 Pro
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Common questions
Which is cheaper, Qwen 3.7 Max or GPT-5.2?
Neither is cheaper everywhere — which one wins depends on how much you read versus write.
How much would Qwen 3.7 Max and GPT-5.2 cost each month?
On PromptSpend's standard workloads, per month: support chatbot: Qwen 3.7 Max $8,044, GPT-5.2 $9,174 (Qwen 3.7 Max is cheaper by $1,131); document summarizer: Qwen 3.7 Max $1,095, GPT-5.2 $977 (GPT-5.2 is cheaper by $118); coding agent: Qwen 3.7 Max $6,120, GPT-5.2 $5,859 (GPT-5.2 is cheaper by $261). No prompt caching and no batch discount is assumed.
How do Qwen 3.7 Max and GPT-5.2 differ apart from price?
Qwen 3.7 Max reads up to 992K tokens of context in one request; GPT-5.2 stops at 272K. GPT-5.2 can write up to 128K tokens in one response, against 66K for Qwen 3.7 Max. Only GPT-5.2 accepts images as input. Cached input costs 80% less than fresh input on Qwen 3.7 Max and 90% less on GPT-5.2, which matters most for workloads that resend the same prompt.