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Google LLC (Vertex AI)

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
Try claude-opus-4CompareDocs

Specifications

Context window200K tokens
Max output32K tokens
API typechat
AddedMay 22, 2025
Model IDvertex/claude-opus-4
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.

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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",
    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
131K ctx$0.50/1M
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". The Quickstart above shows Python, JavaScript and cURL snippets.

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.

Get started freeAll Google LLC (Vertex AI) models