Last refreshed 2026-05-11. Next refresh: weekly.
Why use Qwen3-Coder-480B-A35B-Instruct on GCP Vertex AI?
GCP Vertex AI offers Qwen3-Coder-480B-A35B-Instruct with pay-as-you-go pricing at $0.22/1M input tokens. Vertex AI is Google Cloud's managed AI platform, offering access to Gemini models and hundreds of partner models alongside tools for fine-tuning, grounding, vector search, and end-to-end MLOps pipelines.
Compare Qwen3-Coder-480B-A35B-Instruct across 4 providers to find the best fit for your use caseSetup recipe
Python + curlpip install google-cloud-aiplatformexport GOOGLE_CLOUD_PROJECT=...import os
import vertexai
from vertexai.generative_models import GenerativeModel
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")qwen3-coder-480b-a35b-instructRequest example
import os
import vertexai
from vertexai.generative_models import GenerativeModel
# Reads GOOGLE_CLOUD_PROJECT from env; authenticates via Application Default Credentials
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
model = GenerativeModel("qwen3-coder-480b-a35b-instruct")
response = model.generate_content("Hello")
print(response.text)Gotchas
- For Google-published models use the model name directly, e.g. "gemini-2.0-flash-001". For third-party publishers (Anthropic, Meta, etc.) use the full publisher path, e.g. "publishers/anthropic/models/claude-3-5-sonnet-v2@20241022".
- The examples expect GOOGLE_CLOUD_PROJECT; rename it only if your application config maps the new variable.
Compare Qwen3-Coder-480B-A35B-Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $1.20 | $1.20 |
| GCP Vertex AI | $0.22 | $1.80 |
| NVIDIA NIM | — | — |
| AWS Bedrock | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.22 |
| Output tokens | $1.80 |
Capabilities
About Qwen3-Coder-480B-A35B-Instruct
Qwen Qwen3 Coder 480B A35B Instruct available on AWS Bedrock
FAQ
What does Qwen3-Coder-480B-A35B-Instruct cost on GCP Vertex AI?
On GCP Vertex AI, Qwen3-Coder-480B-A35B-Instruct costs $0.22 per 1M input tokens and $1.8 per 1M output tokens.
What is the context window for Qwen3-Coder-480B-A35B-Instruct on GCP Vertex AI?
Qwen3-Coder-480B-A35B-Instruct supports a 256,000 token context window on GCP Vertex AI.
How does GCP Vertex AI compare to other Qwen3-Coder-480B-A35B-Instruct providers?
Qwen3-Coder-480B-A35B-Instruct is available from 4 providers. The cheapest input pricing is $0.22/1M tokens from GCP Vertex AI.
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.