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. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare Qwen3-Coder-480B-A35B-Instruct across 7 providers to find the best fit for your use caseInput / 1M
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Output / 1M
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model: qwen/qwen3-coder-480b-a35b-instructModel ID
qwen/qwen3-coder-480b-a35b-instructRequest 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
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | — | — |
| GCP Vertex AI | $0.22 | $1.80 |
| NVIDIA NIM | — | — |
| AWS Bedrock | — | — |
| Vercel AI Gateway | $0.22 | $1.80 |
Capabilities
JSON / Tool 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.
Model Specs
Released2025-07-22
Parameters480B total, 35B active
Context256K
ArchitectureMixture of Experts