Last refreshed 2026-10-18. Next refresh: weekly.
Why use Claude 4 Opus on GCP Vertex AI?
GCP Vertex AI offers Claude 4 Opus. 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 Claude 4 Opus across 3 providers to find the best fit for your use caseInput / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install google-cloud-aiplatformAuth
export GOOGLE_CLOUD_PROJECT=...Call
import os
import vertexai
from vertexai.generative_models import GenerativeModel
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")Model ID
claude-opus-4@20250514Request 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("claude-opus-4@20250514")
response = model.generate_content("Hello")
print(response.text)Gotchas
- Use provider model ID "claude-opus-4@20250514", not the LLMReference slug "claude-4-opus".
- 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 Claude 4 Opus Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenRouter | $15.00 | $75.00 |
| Anthropic | $15.00 | $75.00 |
| GCP Vertex AI | — | — |
Capabilities
VisionMultimodalJSON / Tool useStructured OutputsFine-tuning
About Claude 4 Opus
Anthropic Claude 4 Opus API snapshot (claude-opus-4-20250514), deprecated April 14, 2026 with Claude API retirement scheduled for June 15, 2026. Use Claude Opus 4.8 for current integrations.
Model Specs
Released2025-05-22
Context200K
Knowledge cutoff2025-04