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Qwen3 Coder 480B A35B

Verified

Open-weight coding LLM with 1M-token context for large codebases.

Alibaba QwenLanguage ModelsOpen
Model page
Updated 2026-06-15

About Qwen3 Coder 480B A35B

The model features a context capacity of 1,048,576 tokens, allowing it to handle extensive code repositories and long documents in one pass. Released by Alibaba Qwen with open weights, it enables broad access for research and customization. Its text-only modality focuses on efficient language understanding and generation for technical content.

Developers use it for code completion, debugging, refactoring, and generating documentation across programming languages. The large context window supports analyzing entire projects without truncation. Its open-weight availability facilitates integration into IDEs, pipelines, and fine-tuning workflows for specialized coding needs.

Capabilities

Code generation and completion
Long-context code analysis
Multi-language programming support
Debugging and code optimization
Repository-level understanding
Algorithmic problem solving

How Qwen3 Coder 480B A35B compares

Qwen3 Coder 480B A35B (striped bar) vs other language models on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · Qwen3 Coder 480B A35B ranks #70 of 95

$1.3
Cogito v2.1 671B
$1.4
Aion-1.0-Mini
$1.6
Aion-2.0
$1.6
Aion-RP 1.0
$1.7
GLM 4.6
$1.8
GLM 4.7
$1.8
Qwen3 Coder 480B A35B
$1.8
Qwen3 235B A22B
$1.9
Morph V3 Large
$1.9
GLM 5
$2.1
R1 0528
$2.2
MiniMax M1
$2.2
GLM 4.5

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

Best for

Large Repository Analysis

The 1M token context enables full codebase scans to map dependencies, detect inconsistencies, and generate cross-file refactor suggestions.

Multi-Language Development

It supports code generation and completion across numerous programming languages while maintaining consistency in syntax and logic.

Algorithm Debugging

Repository-level understanding combined with optimization capabilities helps isolate performance bottlenecks and propose targeted fixes.

Strengths & limitations

Strengths

  • +Strong coding specialization
  • +Handles up to 1M token contexts
  • +Large-scale model capacity
  • +Technical reasoning focus

Limitations

  • Text-only modality
  • Less generalist capability outside coding
  • High inference compute cost

Cost calculator

Estimate what Qwen3 Coder 480B A35B would cost for your usage.

$0.00112
per request
$11.2
estimated / month

Based on Qwen3 Coder 480B A35B's $0.22/1M input · $1.80/1M output. Estimate only — actual cost varies by provider and caching.

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",
  messages: [{ role: "user", content: "Hello!" }],
});

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

Model slug: qwen/qwen3-coder

Editor's verdict

Our take on Qwen3 Coder 480B A35B

Qwen3 Coder 480B A35B is Alibaba Qwen's open-weight language models with a 1049K-token context window.

At $1.80 per 1M output tokens, it is mid-priced for its class.

As an open-weight model you can self-host it or call it through a hosted API.

Best suited to strong coding specialization and handles up to 1m token contexts.

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Frequently asked questions

The model provides a context window of 1,048,576 tokens.

User reviews

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