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Qwen Turbo
Qwen Turbo model profile for capabilities, pricing and use cases
Qwen Turbo is a large language model from Qwen. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.
starsCapabilities
data_objectStructured output
paymentsContext and pricing
Context limit131,072
Max output16,384
Input price¥0.3/ 1M tokens
Output price¥0.6/ 1M tokens
Cached input price¥0.06/ 1M tokens
descriptionOverview
Overview
Qwen Turbo is part of the Qwen model lineup. Use this wiki entry as a quick reference for capability positioning, application scenarios and model selection.
Best for
Evaluate Qwen Turbo when you need to compare model quality, cost, context window and provider availability for production AI features.
lightbulbUse cases
- General assistants
- Content generation
- Knowledge Q&A
- Workflow automation
thumb_upStrengths
- Useful for broad language tasks
- Easy to compare with similar models
- Can be paired with pricing and relay rankings
infoLimitations
- Exact performance depends on provider implementation
- Specialized tasks require evaluation
- Pricing and availability can change over time