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AI123AI ModelsqwenQwen3 Coder 480B A35B
Qwen3 Coder 480B A35B

Qwen3 Coder 480B A35B

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, tool use, and long-context reasoning over repositories. The model features 480 billion total parameters, with 35 billion active per forward pass (8 out of 160 experts).

Pricing for the Alibaba endpoints varies by context length. Once a request is greater than 128k input tokens, the higher pricing is used.

Modalities
TT
Input / output price
$0.3/$1per 1M tokens
Context
262K
Released
2025-07-23
PricingArtificial AnalysisDesign ArenaRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutputCache read
$0.30/ 1M tokens$1.00/ 1M tokens$0.10/ 1M tokens

Artificial Analysis

Explore rankings
11.9

Intelligence index

Outperforms 35% of compared models

Design Arena

Elo scores and win rates across design and agent tasks.

Category performance

1,000-1,500 Elo
Code Categories: 1141; Data Visualization: 1084; Game Development: 1099; UI Component: 1107; Website: 1157Code Categories1141 EloData Visualization1084 EloGame Development1099 EloUI Component1107 EloWebsite1157 Elo

Model Arena

Website

1157Elo

Win rate 61.7%

Code Categories

1141Elo

Win rate 61.2%

UI Component

1107Elo

Win rate 61.4%

Game Development

1099Elo

Win rate 58.7%

Data Visualization

1084Elo

Win rate 54.9%

How Design Arena works

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Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text, with a 1M-token context window and reasoning enabled by default. This snapshot is post-trained for coding and agentic work, including multi-step software projects, multi-tool orchestration, and long-horizon task execution. It also targets chart reasoning, document parsing, and multimodal understanding over long documents and extended video. Tool calling, structured outputs, and configurable reasoning effort are supported.

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