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Qwen3 Coder 480B A35B Instruct

Qwen3 Coder 480B A35B Instruct is an agentic-focused code model from Alibaba Cloud, built for complex multi-step software engineering workflows and accessible through AI Gateway without requiring separate provider accounts.

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

Playground

Try out Qwen3 Coder 480B A35B Instruct by Alibaba Cloud. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.

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Qwen3 Coder 480B A35B Instruct

Providers

Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.

Provider
Context
Latency
Throughput
Input
Output
Cache
Web Search
Per Query
Capabilities
ZDR
No Training
Release Date
DeepInfra
Legal:Terms
Privacy
262K
0.4s
60tps
$0.40/M$1.60/M
Read:$0.02/M
Write:
07/22/2025
Novita AI
Legal:Terms
Privacy
262K
1.2s
114tps
$0.30/M$2.50/M
07/22/2025
Google Vertex AI
Legal:Terms
Privacy
262K
0.8s
$0.22/M$1.80/M
Read:$0.02/M
Write:
07/22/2025
Alibaba Cloud
Legal:Terms
Privacy
262K
0.9s
97tps
$1.50/M
$7.50/M
Read:
$0.3/M
Write:
07/22/2025
Throughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.

Latency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.

Uptime

Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.

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Model
Context
Latency
Throughput
Input
Output
Cache
Web Search
Per Query
Capabilities
Providers
ZDR
No Training
Release Date
1M
0.9s
367tps
$0.32/M$1.28/M
Read:$0.08/M
Write:$0.5/M
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$7.80/M
Read:
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Write:
$1.63/M
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alibaba logo
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2.0s
80tps
$0.50/M
$3.00/M
Read:
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Write:
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+3
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togetherai logo
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1.2s
166tps
$0.10/M$0.40/M
Read:$0.0/M
Write:$0.13/M
+3
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02/24/2026
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About Qwen3 Coder 480B A35B Instruct

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 When Choosing a Provider

  • Configuration: For coding-focused workloads, provider latency can affect the feel of interactive development tools. Consider testing provider-specific response times against your throughput requirements.
  • Zero Data Retention: AI Gateway supports Zero Data Retention for this model via direct gateway requests (BYOK is not included). To configure this, check the documentation.
  • Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

When to Use Qwen3 Coder 480B A35B Instruct

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

Conclusion

Qwen3 Coder 480B A35B Instruct fills a specific niche: agentic software engineering at scale, where the model participates in extended coding sessions rather than answering isolated questions. AI Gateway exposes it for exactly this use case, and the provider network's automatic retries make it more reliable in CI and interactive tooling contexts than a direct single-provider integration would be.