Qwen3-Coder-480B-A35B-Instruct
Released by Qwen in 2025, Qwen3-Coder-480B-A35B-Instruct is a 480 billion parameter chat model. Qwen3-Coder-480B-A35B-Instruct is an open-weights chat model with roughly 480 billion parameters.
by Qwen · 480B parameters
Best for
Ways to use Qwen3-Coder-480B-A35B-Instruct in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Qwen API key. osFoundry discovers Qwen3-Coder-480B-A35B-Instruct automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
Qwen3-Coder-480B-A35B-Instruct is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
Use Qwen3-Coder-480B-A35B-Instruct via API
Qwen3-Coder-480B-A35B-Instruct is also served by hosted API providers — use it via API (BYOK) if you would rather not manage GPUs. That page lists per-provider pricing.
What hardware can run Qwen3-Coder-480B-A35B-Instruct
Qwen3-Coder-480B-A35B-Instruct runs on a multi-GPU setup or H200 141GB at Q4 (~288 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~1152 GB).
Qwen3-Coder-480B-A35B-Instruct vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwen3-Coder-480B-A35B-Instruct
Is Qwen3-Coder-480B-A35B-Instruct free to use?
Qwen3-Coder-480B-A35B-Instruct is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use Qwen3-Coder-480B-A35B-Instruct commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does Qwen3-Coder-480B-A35B-Instruct need?
Approximately 288 GB at Q4 quantisation, or 1152 GB at full FP16 precision. Requires multi-GPU at higher quantisation.
Can I run Qwen3-Coder-480B-A35B-Instruct locally?
Yes. Qwen3-Coder-480B-A35B-Instruct is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwen3-Coder-480B-A35B-Instruct best at?
Qwen3-Coder-480B-A35B-Instruct is well-suited to text generation.
How do I use Qwen3-Coder-480B-A35B-Instruct in osFoundry?
Paste your Qwen API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen3-Coder-480B-A35B-Instruct to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Qwen on July 22, 2025. Source: https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct