Qwen 3 Coder 480B Turbo

Qwen 3 Coder 480B Turbo is a code-optimized large language model from Alibaba's Qwen team, served as a Turbo, FP8-quantized variant of the Qwen3-Coder-480B-A35B-Instruct base. The underlying model is a Mixture-of-Experts design with 480 billion total parameters and 35 billion active per inference, which the Qwen team frames as delivering high performance at lower compute cost than dense models of comparable scale. It supports a 256K-token context natively, with extrapolation methods reaching up to roughly 1M tokens.

The "Turbo" designation reflects an inference-optimized deployment: FP8 weights and provider-side serving aimed at faster, cheaper code workloads, which is the focus of this catalog entry. Functionally, it is an instruct, non-thinking model — it does not emit separate reasoning-trace blocks — and ships with a specially designed function-call format for agentic coding across tools like Qwen Code and CLINE.

Within Venice's broader Qwen lineup, it sits alongside general-purpose siblings such as [[sibling:qwen3-235b-a22b-instruct-2507|Qwen 3 235B A22B Instruct 2507]] and the efficiency-focused [[sibling:qwen3-next-80b|Qwen 3 Next 80b]], but this checkpoint is specialized purely for coding and agentic tool use. As deployed here it adds function-calling and web-search capabilities for developer workflows.

Sources

qwen3-coder-480b-a35b-instruct Model by Qwen· build.nvidia.comQwen3-Coder: Agentic Coding in the World | Qwen· qwenlm.github.ioQwen/Qwen3-Coder-480B-A35B-Instruct · Hugging Face· huggingface.co

This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.