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Qwen3 Coder 30B A3B Instruct

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Open-weight coding specialist from Alibaba Qwen with 160k context.

Alibaba QwenLanguage ModelsOpen
Model page
Updated 2026-06-15

About Qwen3 Coder 30B A3B Instruct

The model follows the Qwen3 architecture and uses a mixture-of-experts design indicated by the A3B suffix. It processes up to 160,000 tokens in a single context, enabling work with large repositories and extended dialogues. As an instruct-tuned variant, it prioritizes accurate adherence to user prompts.

Its open-weight release allows fine-tuning and local deployment without API restrictions. The model handles multiple programming languages and supports tasks such as code completion, refactoring, and technical explanation.

Developers commonly integrate it into IDEs, build automation scripts, or use it for educational coding assistance. Its context length makes it suitable for analyzing entire projects or maintaining long technical conversations.

Capabilities

Code generation
Code completion and editing
Long-context code understanding
Debugging and refactoring
Multi-language programming support
Technical instruction following

How Qwen3 Coder 30B A3B Instruct compares

Qwen3 Coder 30B A3B Instruct (striped bar) vs other language models on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · Qwen3 Coder 30B A3B Instruct ranks #14 of 78

$0.18
DeepSeek V4 Flash
$0.18
gpt-oss-120b
$0.19
Qwen3 30B A3B Instruct 2507
$0.20
Nemotron 3 Nano 30B A3B
$0.21
Hy3 preview
$0.24
Qwen3 14B
$0.27
Qwen3 Coder 30B A3B Instruct
$0.28
Qwen3 32B
$0.30
Step 3.5 Flash
$0.30
MiMo-V2-Flash
$0.30
gpt-oss-safeguard-20b
$0.34
DeepSeek V3.2
$0.35
Phi 4 Mini Instruct

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Large-scale codebase analysis

The 160000-token context enables the model to ingest and reason over entire repositories or lengthy technical documents in a single pass for architecture reviews or dependency mapping.

Multi-language code completion in IDEs

It delivers accurate code suggestions, edits, and generation across numerous programming languages while strictly following detailed technical instructions.

Debugging and refactoring legacy systems

Strong performance in identifying bugs, proposing refactors, and maintaining code quality makes it suitable for iterative improvement of complex existing projects.

Strengths & limitations

Strengths

  • +Strong coding specialization
  • +Handles large code contexts effectively
  • +Good instruction adherence for dev tasks
  • +Efficient 30B-scale performance

Limitations

  • Text-only modality
  • Weaker on non-coding general tasks
  • May need prompting for complex edge cases

Cost calculator

Estimate what Qwen3 Coder 30B A3B Instruct would cost for your usage.

$0.00020
per request
$2.05
estimated / month

Based on Qwen3 Coder 30B A3B Instruct's $0.07/1M input · $0.27/1M output. Estimate only — actual cost varies by provider and caching.

Download & self-host Qwen3 Coder 30B A3B Instruct

This is an open-weight model. Download the weights from Hugging Face or load it directly with Transformers.

31B
Parameters (safetensors)
1,378,785
Monthly downloads
1,109
Hugging Face likes
Download · transformers
# Install the Hugging Face CLI
pip install -U "huggingface_hub[cli]"

# Download the model weights
hf download Qwen/Qwen3-Coder-30B-A3B-Instruct

# Or load it directly in Python
from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("Qwen/Qwen3-Coder-30B-A3B-Instruct")
model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-Coder-30B-A3B-Instruct", device_map="auto")
View Qwen/Qwen3-Coder-30B-A3B-Instruct on Hugging Face

Inference providers

Hosted APIs that serve Qwen3 Coder 30B A3B Instruct (via Hugging Face Inference Providers).

featherless-aiscalewayovhcloud

Quick start

OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.

JavaScript · openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: process.env.OPENROUTER_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "qwen/qwen3-coder-30b-a3b-instruct",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: qwen/qwen3-coder-30b-a3b-instruct

Editor's verdict

Our take on Qwen3 Coder 30B A3B Instruct

Qwen3 Coder 30B A3B Instruct is Alibaba Qwen's open-weight language models with a 160K-token context window.

At $0.27 per 1M output tokens, it is very cost-efficient for its class.

As an open-weight model you can self-host it (31B parameters) or call it through a hosted API.

Best suited to strong coding specialization and handles large code contexts effectively.

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Frequently asked questions

The model provides a context window of 160000 tokens.

User reviews

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Other Qwen models

Sibling versions in the Qwen family from Alibaba Qwen.

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