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Qwentext->text

Qwen: QwQ 32B

QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.

Context Window

33K

Input Price

$0.1500/M tokens

Output Price

$0.4000/M tokens

Modality

text->text

Pricing Breakdown
Cost per million tokens for input and output
Input$0.1500/M tokens
Output$0.4000/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.001900

Context Window Size
Maximum tokens the model can process in a single request
Context Window33K tokens
3% of 1M max

~25K

Words Equivalent

~16

Pages of Text

~328

Code Functions

Best Use Cases
What this model excels at
MathReasoningAnalysis

Related Categories:

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