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Qwentext->text

Qwen: Qwen3 32B

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for tasks like math, coding, and logical inference, and a "non-thinking" mode for faster, general-purpose conversation. The model demonstrates strong performance in instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling.

Context Window

41K

Input Price

$0.0800/M tokens

Output Price

$0.2400/M tokens

Modality

text->text

Pricing Breakdown
Cost per million tokens for input and output
Input$0.0800/M tokens
Output$0.2400/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.001040

Context Window Size
Maximum tokens the model can process in a single request
Context Window41K tokens
4% of 1M max

~31K

Words Equivalent

~20

Pages of Text

~410

Code Functions

Best Use Cases
What this model excels at
CodingProgrammingDevelopmentWritingContent-creationMathReasoningAnalysisChatConversationAssistant

Related Categories:

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