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Model details

Qwen Flash (Alibaba Cloud)

Qwen Flash is positioned by Alibaba Cloud as a general-purpose text model built for fast, flexible everyday use rather than heavyweight reasoning. It is described as supporting a hybrid approach that lets it handle both thinking and non-thinking requests within the same conversation, adapting its reasoning depth to the task at hand. According to a third-party description, it pairs this adaptive reasoning with strong instruction following and structured output capability, making it suitable for everyday questions, complex instructions, and long documents where a balance between response quality and efficiency matters.

The model's emphasis on long-context understanding suggests it is intended for workflows that process large documents or extended multi-turn conversations, so users working with lengthy reports, transcripts, or chained instructions can keep the full context in a single session. Its instruction-following strength points to practical fit for assistants, content workflows, and tool-augmented tasks where reliability on user prompts is essential. By aiming to balance speed with reasoning quality, Qwen Flash targets users who want a single text model that can flex between quick answers and more considered analysis without switching systems.

LLM Gatewayalibaba/qwen-flashqwen

Quick Info

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Provider
LLM Gateway
Model key
alibaba/qwen-flash
Release date
Jul 28, 2025
Last updated
Jul 28, 2025
Knowledge cutoff
2024-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.05
Output token cost
$0.40

Limits

Output tokens
32,000 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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