Context Window
32,768
Tokens
Model Cost Profile
Developer: qwen
Pricing updated Mar 11, 2026
Qwen-Max, developed by qwen, offers a substantial context window of 32,768 tokens, making it ideal for applications requiring extensive text analysis or generation, such as legal document review and long-form content creation. With an input price of $1.60 per million tokens and an output price of $6.40 per million tokens, teams can effectively budget for projects that demand high-volume data processing and detailed output. This pricing structure positions Qwen-Max as a competitive option for organizations seeking scalable solutions in natural language processing tasks.
Context Window
32,768
Tokens
Input Price / 1M
$1.04
Prompt tokens
Output Price / 1M
$4.16
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $1.04 |
| Output (Completion) | $4.16 |
Price History
Current Input / 1M
$1.04
Current Output / 1M
$4.16
Estimate monthly spend for Qwen: Qwen-Max based on your workload.
Estimated Monthly Cost
$76
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Qwen: Qwen-Max .
Qwen: Qwen-Max input pricing is $1.04 per 1M tokens based on the latest synced provider data.
Qwen: Qwen-Max output pricing is $4.16 per 1M tokens based on the latest synced provider data.
Qwen: Qwen-Max supports a context window of 32,768 tokens.
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.