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Qwentext->text

Qwen: Qwen3 Coder 30B A3B Instruct

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the Qwen3 architecture, it supports a native context length of 256K tokens (extendable to 1M with Yarn) and performs strongly in tasks involving function calls, browser use, and structured code completion. This model is optimized for instruction-following without “thinking mode”, and integrates well with OpenAI-compatible tool-use formats.

Context Window

160K

Input Price

$0.0700/M tokens

Output Price

$0.2700/M tokens

Modality

text->text

Pricing Breakdown
Cost per million tokens for input and output
Input$0.0700/M tokens
Output$0.2700/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.000970

Context Window Size
Maximum tokens the model can process in a single request
Context Window160K tokens
16% of 1M max

~120K

Words Equivalent

~80

Pages of Text

~1600

Code Functions

Best Use Cases
What this model excels at
CodingProgrammingDevelopment

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