Intelligence index
Outperforms 35% of compared models

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.
Outperforms 35% of compared models
Elo scores and win rates across design and agent tasks.
1157Elo
Win rate 61.7%
1141Elo
Win rate 61.2%
1107Elo
Win rate 61.4%
1099Elo
Win rate 58.7%
1084Elo
Win rate 54.9%