LLM Reference
NVIDIA NIM

Qwen3-Coder-480B-A35B-Instruct on NVIDIA NIM

Qwen3-Coder · Alibaba

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Last refreshed 2026-06-19. Next refresh: weekly.

Why use Qwen3-Coder-480B-A35B-Instruct on NVIDIA NIM?

NVIDIA NIM offers Qwen3-Coder-480B-A35B-Instruct with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.

Compare Qwen3-Coder-480B-A35B-Instruct across 6 providers to find the best fit for your use case
Input / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced

Setup recipe

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Call
model: qwen/qwen3-coder-480b-a35b-instruct
Model ID
qwen/qwen3-coder-480b-a35b-instruct

Request example

Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID qwen/qwen3-coder-480b-a35b-instruct.

Gotchas

  • Use provider model ID "qwen/qwen3-coder-480b-a35b-instruct", not the LLMReference slug "qwen3-coder-480b-a35b-instruct".

Compare Qwen3-Coder-480B-A35B-Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI
GCP Vertex AI$0.22$1.80
NVIDIA NIM
AWS Bedrock
Vercel AI Gateway$1.50$7.50
View all 6 providers →

Pricing

TypeRate
GPU Hour Rate$1.00/GPU·hr

Capabilities

Function CallingTool UseStructured OutputsCode Execution

About Qwen3-Coder-480B-A35B-Instruct

Qwen3-Coder-480B-A35B-Instruct is Alibaba's flagship open-source code generation and agentic model, released July 22, 2025 under the Apache 2.0 license. The model has 480 billion total parameters with 35 billion active parameters per token, organized across 62 transformer layers with 160 specialized expert networks and 8 experts activated per token. It uses Grouped Query Attention (GQA) with 96 query heads and 8 key-value heads and supports a native context window of 262,144 tokens, extendable to 1 million tokens via YaRN position scaling. The model is purpose-built for software engineering tasks and agentic workflows: code generation, code review, test writing, multi-step debugging, and browser-based agentic task execution. On release, it achieved state-of-the-art results among open models on Agentic Coding, Agentic Browser-Use, and Agentic Tool-Use benchmarks, with performance comparable to Claude Sonnet 4 on these tasks. Available via Fireworks AI, Google Vertex AI, NVIDIA NIM, AWS Bedrock, Novita AI, and the Vercel AI Gateway.

FAQ

What is the context window for Qwen3-Coder-480B-A35B-Instruct on NVIDIA NIM?

Qwen3-Coder-480B-A35B-Instruct supports a 262k token context window on NVIDIA NIM.

How does NVIDIA NIM compare to other Qwen3-Coder-480B-A35B-Instruct providers?

Qwen3-Coder-480B-A35B-Instruct is available from 6 providers. The cheapest input pricing is $0.22/1M tokens from GCP Vertex AI.

What API model ID do I use for Qwen3-Coder-480B-A35B-Instruct on NVIDIA NIM?

Use the model ID qwen/qwen3-coder-480b-a35b-instruct when calling NVIDIA NIM's API.

Who created Qwen3-Coder-480B-A35B-Instruct?

Qwen3-Coder-480B-A35B-Instruct was created by Alibaba as part of the Qwen3-Coder model family.

Is Qwen3-Coder-480B-A35B-Instruct open source?

Qwen3-Coder-480B-A35B-Instruct is open source under Apache 2.0 according to the seed data.

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Model Specs

Released2025-07-22
Parameters480B total, 35B active
Context262k
ArchitectureMixture of Experts