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Qwentext->text

Qwen: Qwen3 30B A3B

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique ability to switch seamlessly between a thinking mode for complex reasoning and a non-thinking mode for efficient dialogue ensures versatile, high-quality performance. Significantly outperforming prior models like QwQ and Qwen2.5, Qwen3 delivers superior mathematics, coding, commonsense reasoning, creative writing, and interactive dialogue capabilities. The Qwen3-30B-A3B variant includes 30.5 billion parameters (3.3 billion activated), 48 layers, 128 experts (8 activated per task), and supports up to 131K token contexts with YaRN, setting a new standard among open-source models.

Context Window

41K

Input Price

$0.0600/M tokens

Output Price

$0.2200/M tokens

Modality

text->text

Pricing Breakdown
Cost per million tokens for input and output
Input$0.0600/M tokens
Output$0.2200/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.000820

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-creationMathReasoningAnalysis

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