# Qwen3 Coder 480B A35B Instruct

A large-scale agentic coding model from Alibaba Cloud, available through AI Gateway. Purpose-built for multi-step, tool-using software engineering tasks that go beyond single-prompt code completion.

- **Model ID:** `alibaba/qwen3-coder`
- **Type:** chat
- **Providers:** vertex
- **Context window:** 262,144
- **Maximum output tokens:** 32,768
- **Pricing:** $0.22/1M input tokens, $1.8/1M output tokens
- **Canonical page:** https://vercel.com/ai-gateway/models/qwen3-coder

## Supported parameters

Detailed capability metadata has not been reported for this model.

## Example

```ts
import { streamText } from 'ai'

const result = streamText({
  model: 'alibaba/qwen3-coder',
  prompt: 'Why is the sky blue?'
})
```

## About

Qwen3 Coder 480B A35B Instruct targets agentic coding: multi-step software engineering that involves reading files, running tools, debugging failures, and iterating across a real codebase. It's available on AI Gateway for teams building complex, multi-step coding workflows.

The underlying architecture is a 480-billion-parameter MoE model with 35 billion activated per token. This balances deep coding specialization against general reasoning and mathematics, with strong reported results among open models on SWE-Bench Verified.

Qwen3 Coder 480B A35B Instruct integrates with Qwen Code, Claude Code, and Cline. These developer toolchains require agentic coding models to handle tool calls, environment feedback, and iterative plan-execute-debug loops. The model natively supports context of 262.1K tokens, extendable to 1M tokens via YaRN extrapolation, giving it the working memory to hold substantial codebases or long conversation histories during extended development sessions.

Accessing Qwen3 Coder 480B A35B Instruct through AI Gateway removes the friction of managing separate provider credentials. Automatic retries and failover mean that infrastructure issues at any individual provider don't interrupt ongoing coding sessions or break CI pipelines.

## What to consider

For coding-focused workloads, provider latency can affect the feel of interactive development tools. Consider testing provider-specific response times against your throughput requirements.

## When to use

### Best For

- **Agentic software engineering tasks:** Workflows where the model needs to read code, plan changes, execute tools, interpret results, and iterate, rather than one-shot generation, are exactly what Qwen3 Coder 480B A35B Instruct is tuned for
- **SWE-bench-style repository-level tasks:** Strong SWE-Bench Verified results among open models indicate solid performance on the kinds of multi-file, multi-step bug fixing and feature implementation tasks representative of real software maintenance
- **Building AI-powered developer tools:** Teams constructing coding assistants, automated PR review, or code migration tools can use Qwen3 Coder 480B A35B Instruct as the reasoning backbone, with the long context window holding full file context
- **Tool-calling pipelines in development environments:** Qwen3 Coder 480B A35B Instruct's orientation toward agentic tool use makes it reliable in frameworks that expose file system, shell, and test runner tools to the model during a coding session

### Consider Alternatives When

- **The task is simple code completion or short snippet generation:** Smaller, faster models can handle routine code completion without the overhead of an agentic model. Cost and latency are lower for routine generation
- **Non-coding tasks dominate the workload:** Qwen3 Coder 480B A35B Instruct is specialized for code and agentic scenarios. For general text generation, summarization, or multilingual tasks not involving code, general-purpose Qwen3 variants will serve better
- **You need image or multimodal input handling:** Qwen3 Coder 480B A35B Instruct is a text model; it doesn't process screenshots, diagrams, or visual inputs

## Best for

- **Agentic software engineering tasks:** Workflows where the model needs to read code, plan changes, execute tools, interpret results, and iterate, rather than one-shot generation, are exactly what Qwen3 Coder 480B A35B Instruct is tuned for
- **SWE-bench-style repository-level tasks:** Strong SWE-Bench Verified results among open models indicate solid performance on the kinds of multi-file, multi-step bug fixing and feature implementation tasks representative of real software maintenance
- **Building AI-powered developer tools:** Teams constructing coding assistants, automated PR review, or code migration tools can use Qwen3 Coder 480B A35B Instruct as the reasoning backbone, with the long context window holding full file context
- **Tool-calling pipelines in development environments:** Qwen3 Coder 480B A35B Instruct's orientation toward agentic tool use makes it reliable in frameworks that expose file system, shell, and test runner tools to the model during a coding session

## Consider alternatives

- **The task is simple code completion or short snippet generation:** Smaller, faster models can handle routine code completion without the overhead of an agentic model. Cost and latency are lower for routine generation
- **Non-coding tasks dominate the workload:** Qwen3 Coder 480B A35B Instruct is specialized for code and agentic scenarios. For general text generation, summarization, or multilingual tasks not involving code, general-purpose Qwen3 variants will serve better
- **You need image or multimodal input handling:** Qwen3 Coder 480B A35B Instruct is a text model; it doesn't process screenshots, diagrams, or visual inputs

## Frequently asked questions

### Why use Qwen3 Coder 480B A35B Instruct through AI Gateway?

You can access Qwen3 Coder 480B A35B Instruct through AI Gateway without separate provider accounts. Built-in retries and failover keep coding pipelines running without interruption.

### What makes Qwen3 Coder 480B A35B Instruct "agentic" compared to other coding models?

Agentic coding means the model can operate in multi-turn, tool-using environments where it reads context, decides on actions, executes tools, interprets the results, and adapts its plan accordingly. Qwen3 Coder 480B A35B Instruct is tuned for this loop rather than one-shot code completion, which shows up in its tool-calling reliability and multi-step task performance.

### What context length does Qwen3 Coder 480B A35B Instruct support?

262.1K tokens natively, extendable to one million tokens using YaRN extrapolation. This context window lets agentic tasks hold entire repositories or extended tool-call histories in context.

### Which developer tools is Qwen3 Coder 480B A35B Instruct integrated with?

The model works with Qwen Code, Claude Code, and Cline out of the box. On AI Gateway, you can use the `qwen3-coder` model identifier from AI SDK, Chat Completions API, Responses API, Messages API, or other API formats, from TypeScript or Python.

### How does AI Gateway improve reliability for coding pipeline use cases?

AI Gateway adds automatic retries and failover across Google Vertex AI. If a provider returns an error during a long agentic session, AI Gateway handles the retry transparently. This prevents the kind of mid-session failures that break automated coding workflows.

### What benchmarks has Qwen3 Coder 480B A35B Instruct been evaluated on?

The model reports strong results among open models on Agentic Coding, Agentic Browser-Use, and Agentic Tool-Use benchmarks, with SWE-Bench Verified performance cited as a specific highlight. See https://docs.cloud.google.com/vertex-ai/generative-ai/docs/maas/qwen/qwen3-coder for detailed results.

### Can I use Qwen3 Coder 480B A35B Instruct for non-coding tasks?

Qwen3 Coder 480B A35B Instruct retains general reasoning and math capability alongside its coding specialization and can handle general tasks, but dedicated general-purpose Qwen3 models are better suited when code isn't the primary use case.

## Links

- [Model page](https://vercel.com/ai-gateway/models/qwen3-coder)
- [AI Gateway documentation](https://vercel.com/docs/ai-gateway)
- [Provider model documentation](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/maas/qwen/qwen3-coder)
- [Provider pricing](https://cloud.google.com/vertex-ai/generative-ai/pricing)