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Qwen3 Coder 480B A35B

by Qwen

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, to

QC

Models

Qwen3 Coder 480B A35B

Added 10 July 2026

#qwen

Overview

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...

Best for

Best for
Dedicated coding agents on a budget

Use cases

  • code completion agents
  • PR drafts
  • test generation

How to use / API access

Call via OpenRouter with model id `qwen/qwen3-coder`.

  • openrouter · qwen/qwen3-coder Docs

OpenRouter id: qwen/qwen3-coder

Benchmarks

  • Intelligence Index (artificial-analysis): 11.9 index
  • Design Arena codecategories (other): 1145 elo · #87
  • Design Arena dataviz (other): 1084 elo · #103
  • Design Arena gamedev (other): 1100 elo · #93
  • Design Arena uicomponent (other): 1112 elo · #88

Enterprise DNA angle

Omni can run Qwen Coder as the coding specialist beside a generalist planner model.

Notes

Qwen3 Coder 480B A35B is listed in the EDNA Models directory from the OpenRouter catalogue.

Pros

  • Coding-specialist Qwen line at competitive cost
  • Strong open-weight-adjacent option via OpenRouter

Cons

  • Narrower generalist quality than frontier closed models
  • Endpoint quality can vary
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USAGE / OPENROUTER

How much Qwen3 Coder 480B A35B is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
18.2B ▲35.4%
Requests, last 7 days
781K
Tool calls, last 7 days
435K
Intelligence score
11.9
Average cost per request
64.2¢
Price per million tokens
$0.3 in · $1 out
02.5B5B19 Sept: 1.4B tokens, 92.9K requests20 Sept: 1.8B tokens, 92.8K requests21 Sept: 2B tokens, 82.8K requests22 Sept: 2.4B tokens, 100K requests23 Sept: 2.5B tokens, 122K requests24 Sept: 1.7B tokens, 117K requests25 Sept: 2.7B tokens, 189K requests26 Sept: 1.7B tokens, 213K requests27 Sept: 1.6B tokens, 80.2K requests28 Sept: 1.6B tokens, 107K requests29 Sept: 1.4B tokens, 123K requests30 Sept: 1.4B tokens, 81.5K requests1 Oct: 2.7B tokens, 155K requests2 Oct: 2.4B tokens, 114K requests3 Oct: 1.9B tokens, 88.8K requests4 Oct: 1.6B tokens, 68.6K requests5 Oct: 1.5B tokens, 70.5K requests6 Oct: 1.7B tokens, 86.4K requests7 Oct: 2.1B tokens, 124K requests8 Oct: 2.7B tokens, 97.2K requests9 Oct: 2.4B tokens, 115K requests10 Oct: 1.3B tokens, 99K requests11 Oct: 1.8B tokens, 118K requests12 Oct: 2.1B tokens, 108K requests13 Oct: 2.4B tokens, 116K requests14 Oct: 2.5B tokens, 93K requests15 Oct: 2.4B tokens, 117K requests16 Oct: 3.1B tokens, 88.8K requests17 Oct: 2.3B tokens, 74.4K requests18 Oct: 3.4B tokens, 184K requests19 Sept3 Oct17 Oct18 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Check the source

Price date: 2026-10-18. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 11.9 (2026-10-18) ↗
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