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Qwen 3 Coder 30B A3B Instruct

Qwen 3 Coder 30B A3B Instruct is a compact mixture-of-experts coding model from Alibaba, activating only 3 billion parameters per inference while delivering strong agentic coding performance for cost-sensitive deployments.

ReasoningTool Use
index.ts
import { streamText } from 'ai'
const result = streamText({
model: 'alibaba/qwen3-coder-30b-a3b',
prompt: 'Why is the sky blue?'
})

Frequently Asked Questions

  • What is the relationship between Qwen 3 Coder 30B A3B Instruct and the 480B-A35B variant?

    Both belong to the Qwen3-Coder family and share the same coding-first orientation. The 30B-A3B activates 3B parameters per inference versus 35B for the 480B-A35B model. The tradeoff is lower peak capability in exchange for lower serving cost and latency.

  • What does the "A3B" suffix indicate?

    "A3B" stands for 3 billion activated parameters. In the mixture-of-experts architecture, each inference step routes through a subset of the total parameter space. The model stores 30 billion parameters but computes with only 3 billion per forward pass.

  • How is Qwen 3 Coder 30B A3B Instruct different from the general Qwen3-30B-A3B?

    Qwen 3 Coder 30B A3B Instruct is specifically from the coding-specialized line in the Qwen3-Coder family. The general Qwen3-30B-A3B targets broader task coverage. The coder variant will generally outperform the general variant on coding-specific evaluations.

  • What programming languages and frameworks does Qwen 3 Coder 30B A3B Instruct cover?

    The model covers common programming languages and developer tooling. Specific language coverage details are in the Qwen3-Coder technical documentation at https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html.

  • Can I use Qwen 3 Coder 30B A3B Instruct for multi-file codebases and agentic sessions?

    Yes. Qwen 3 Coder 30B A3B Instruct inherits the agentic coding orientation of the Qwen3-Coder family, including tool-calling support and the ability to operate in plan-execute-debug loops. The context window (262.1K tokens) determines how much code and conversation history fits in a single session.

  • How does the MoE architecture affect throughput compared to a dense model?

    With 3B active parameters, the per-token compute cost is equivalent to a 3B dense model, which is substantially faster than a dense 30B model serving the same traffic. For throughput-sensitive applications, this translates to more requests served per unit of compute.

  • Is Qwen 3 Coder 30B A3B Instruct open source?

    The Qwen3-Coder family is released as open models. Check https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html for licensing terms and model cards.