Context Window
131,072
Tokens
Model Cost Profile
Developer: qwen
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.0325
Output: $0.1300
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
Qwen-Turbo, developed by qwen, features an extensive context window of 131,072 tokens, making it ideal for applications requiring deep contextual understanding, such as long-form content generation and complex conversational agents. With an input price of $0.05 per million tokens and an output price of $0.20 per million tokens, teams can effectively manage costs while leveraging the model for high-volume tasks like data analysis and customer support automation. This pricing structure allows organizations to scale their usage according to project needs, ensuring flexibility and budget control.
Context Window
131,072
Tokens
Input Price / 1M
$0.0325
Prompt tokens
Output Price / 1M
$0.1300
Completion tokens
Intelligence (MMLU)
63.3
Massive Multitask Language Understanding
Standardized evaluation scores for Qwen: Qwen-Turbo.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0325 |
| Output (Completion) | $0.1300 |
Price History
Current Input / 1M
$0.0325
Current Output / 1M
$0.1300
Estimate monthly spend for Qwen: Qwen-Turbo based on your workload.
Estimated Monthly Cost
$2.37
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Qwen: Qwen-Turbo.
Qwen: Qwen-Turbo input pricing is $0.0325 per 1M tokens based on the latest synced provider data.
Qwen: Qwen-Turbo output pricing is $0.1300 per 1M tokens based on the latest synced provider data.
Qwen: Qwen-Turbo supports a context window of 131,072 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.