👁 Alibaba
Alibaba
Qwen3-Coder 480B A35B Instruct
Frontier
Qwen3-Coder 480B A35B Instruct (480B parameters) requires approximately 297.2 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 35B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 342 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Qwen3-Coder 480B A35B Instruct on your machine.
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lms load Qwen3-Coder-480B-A35B-Instruct && lms server startQuick specs
About this model
- •Significant Performance: among open models on Agentic Coding, Agentic Browser-Use, and other foundational coding tasks, achieving results...
- •Long-context Capabilities: with native support for 256K tokens, extendable up to 1M tokens using Yarn, optimized for repository-scale...
- •Agentic Coding: supporting for most platform such as Qwen Code, CLINE, featuring a specially designed function call format
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 187.2 GB | Low | — |
Q3_K_S | 3 | 235.2 GB | Low | — |
NVFP4 | 4 | 268.8 GB | Medium | — |
Q4_K_M | 4 | 292.8 GB | Medium | — |
Q5_K_M | 5 | 345.6 GB | High | — |
Q6_K | 6 | 393.6 GB | High | — |
Q8_0 | 8 | 513.6 GB | Very High | — |
F16 | 16 | 984.0 GB | Maximum | — |
Quality benchmarks
Qwen3-Coder 480B A35B Instruct benchmark scores
Coding
Source: official · 2025-07-22
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Frequently asked questions
FAQ — Qwen3-Coder 480B A35B Instruct
See also