Qwen Turbo
AffordableFast and cost-efficient Qwen model for high-throughput applications.
Optimized for speed and low cost across common tasks. Good for interactive applications requiring quick responses.
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Qwen Turbo by Qwen has a Capability Index of 60.7, making it below the field average in capability. It ranks #70 out of 92 models on the idapt capability leaderboard. The model supports a 1M context window.
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Who created Qwen Turbo?
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Qwen Turbo was created by Qwen.
How capable is Qwen Turbo?
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Qwen Turbo has a Capability Index of 60.7/100, making it below the field average in capability. It ranks #70 out of 92 models.
Is Qwen Turbo a reasoning model?
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No, Qwen Turbo is not a reasoning model. It responds directly without an extended internal thinking step. For tasks requiring deep chain-of-thought reasoning, consider models like Claude, o-series from OpenAI, or Gemini Thinking.
Does Qwen Turbo support image or vision input?
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No, Qwen Turbo does not currently support image or vision input. It is a text-only model.
Does Qwen Turbo support audio?
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No, Qwen Turbo does not support audio input.
What is the context window of Qwen Turbo?
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Qwen Turbo has a context window of 1M tokens, meaning it can process approximately 750,000 words of context at once.
Is Qwen Turbo open source?
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Qwen Turbo is a proprietary model developed by Qwen. The model weights and training data are not publicly available.
Where can I use Qwen Turbo?
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You can chat with Qwen Turbo on idapt.app — no separate API key required. idapt is an AI workspace with 200+ models, agents, computers, and tasks. You can also access Qwen Turbo through Qwen's own API or platform.