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claude-opus-4-8

Claude Opus 4.8 is Anthropic's most capable generally available model, advancing performance across coding, enterprise workflows, and long-running agentic tasks. Coding: Claude Opus 4.8 is built for agentic coding at scale, excelling at long-horizon projects, complex implementations, and polished UI design. It handles the full lifecycle from architecture to deployment, including design-quality UI so senior engineers can delegate complex work with confidence. Enterprise workflows: Claude Opus 4.8 sets the standard for enterprise knowledge work, carrying context across sessions to manage complex, multi-day projects end-to-end. It delivers professional polish on the documents, spreadsheets, and presentations that move work forward.

👁Vision🧠Reasoning🔧Tool calling⚡Caching🖥Computer use
Try claude-opus-4-8CompareDocs

Specifications

Context window1M tokens
Max output128K tokens
API typechat
AddedMay 29, 2026
Model IDbedrock/claude-opus-4-8
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US / 🇪🇺 EU
Privacy policyAWS Privacy Notice→

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 AWS Bedrock models overview.

Pricing

Input / 1M
$5.00
Output / 1M
$25.00
Cache write / 1M
$6.25
Cache read / 1M
$0.50
Estimated cost
100K input + 10K output$0.75
1M input + 100K output$7.50
10M input + 1M output$75.00

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 bedrock/claude-opus-4-8.

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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="bedrock/claude-opus-4-8",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other AWS Bedrock models

claude-opus-4-8
@eu-central-1
1M ctx$5.50/1M
claude-opus-4-8
@eu-west-3
1M ctx$5.50/1M
claude-opus-4-8
@eu-west-1
1M ctx$5.50/1M
claude-opus-4-8
@eu-north-1
1M ctx$5.50/1M
claude-opus-4-7
@eu-central-1
1M ctx$5.50/1M
SWE-Bench 79%
claude-opus-4-7
1M ctx$5.00/1M
SWE-Bench 79%

Frequently asked questions

How much does claude-opus-4-8 cost?
claude-opus-4-8 is priced at $5.00 per million input tokens and $25.00 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-4-8?
claude-opus-4-8 has a context window of 1M tokens, with a maximum output of 128K tokens per response. That's roughly 1,333 words of input you can fit in a single prompt.
What can claude-opus-4-8 do?
claude-opus-4-8 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-4-8 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 "bedrock/claude-opus-4-8". The Quickstart above shows Python, JavaScript and cURL snippets.

Access claude-opus-4-8 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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