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Google LLC (Vertex AI)@us-east5

claude-opus-4

Anthropic's most intelligent model. The first hybrid reasoning model on the market with the highest level of intelligence and capability with toggleable extended thinking. Top-tier results in reasoning, coding, multilingual tasks, long-context handling, honesty, and image processing.

👁Vision🧠Reasoning🔧Tool calling⚡Caching🖥Computer use
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Specifications

Context window200K tokens
Max output32K tokens
API typechat
AddedMay 22, 2025
Model IDvertex/claude-opus-4@us-east5
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US / 🇪🇺 EU
Privacy policyVertex AI Data Governance →

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Google LLC (Vertex AI) models overview.

Pricing

Input / 1M
$15.00
Output / 1M
$75.00
Cache write / 1M
$18.75
Cache read / 1M
$1.50
Estimated cost
100K input + 10K output$2.25
1M input + 100K output$22.50
10M input + 1M output$225.00

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to vertex/claude-opus-4@us-east5.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="vertex/claude-opus-4@us-east5",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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gemini-3.1-flash-image-preview
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gemini-3-pro-preview
1.0M ctx$2.00/1M
gemini-3.1-pro-preview
1.0M ctx$2.00/1M

Frequently asked questions

How much does claude-opus-4 cost?
claude-opus-4 is priced at $15.00 per million input tokens and $75.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of claude-opus-4?
claude-opus-4 has a context window of 200K tokens, with a maximum output of 32K tokens per response. That's roughly 267 words of input you can fit in a single prompt.
What can claude-opus-4 do?
claude-opus-4 supports vision input, tool calling, extended reasoning, prompt caching, computer use. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use claude-opus-4 with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "vertex/claude-opus-4@us-east5". The Quickstart above shows Python, JavaScript and cURL snippets.
What region is this deployment?
This variant of claude-opus-4 is deployed in us-east5. Region-specific endpoints matter for data residency, latency to your users, and compliance requirements (GDPR, HIPAA). Other regions for the same model may be listed on the Google LLC (Vertex AI) provider page.

Access claude-opus-4 through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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