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Model details

Qwen3-Coder 30B-A3B Instruct

Qwen3 Coder 30B A3B Instruct is a causal language model built on a Mixture-of-Experts architecture, featuring 30.5 billion total parameters with 3.3 billion activated per forward pass. By utilizing 128 experts with 8 active at any given time, the model balances computational efficiency with high-level performance. It is specifically engineered for advanced coding tasks, offering native support for a 262,144-token context window that can be extended to 1 million tokens using Yarn. This design makes it particularly effective for repository-scale code comprehension and generation, allowing developers to process and reason across massive codebases.

The model undergoes both pre-training and post-training stages to refine its instruction-following capabilities, specifically excelling in agentic workflows and tool-augmented systems. It features a specialized function call format that integrates seamlessly with platforms like CLINE and Qwen Code, making it a strong candidate for automated coding agents and browser-use tasks. Unlike some models that require specific thinking blocks, this version is optimized for direct, non-thinking instruction execution. Its combination of long-context handling and robust tool-calling makes it a versatile choice for developers building systems that require deep integration with external APIs and complex, multi-step coding logic.

Amazon Bedrockqwen.qwen3-coder-30b-a3b-v1:0qwen

Quick Info

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Provider
Amazon Bedrock
Model key
qwen.qwen3-coder-30b-a3b-v1:0
Release date
Jul 31, 2025
Last updated
Sep 18, 2025
Knowledge cutoff
2025-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.15
Output token cost
$0.60

Limits

Output tokens
131,072 tokens
Context window
262,144 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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