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Anthropic PBC

claude-opus-4-8

Opus 4.8 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.7, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. It is especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration.

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

Specifications

Context window1M tokens
Max output128K tokens
API typechat
AddedMay 28, 2026
Model IDanthropic/claude-opus-4-8
Data retentionYes (30 days)
Used for trainingNo
Provider location🇺🇸 US
Privacy policyAnthropic Privacy Policy→

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

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

Other Anthropic PBC models

claude-opus-4-7
1M ctx$5.00/1M
SWE-Bench 79%
claude-sonnet-4-6
1M ctx$3.00/1M
SWE-Bench 77%
claude-opus-4-6
1M ctx$5.00/1M
SWE-Bench 75%
claude-haiku-4-5
200K ctx$1.00/1M
SWE-Bench 54%
claude-sonnet-4-5
1M ctx$3.00/1M
SWE-Bench 71%
claude-opus-4-1
200K ctx$15.00/1M

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 "anthropic/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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