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claude-opus-4-8

AWS Bedrock/@eu-central-1/chat

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.More

Which id to call

bedrock/claude-opus-4-8@eu-central-1

This exact deployment on AWS Bedrock in eu-central-1, with no routing and no failover. Send it as the model field.

Input /1M

$5.50

$0.55 cached

Output /1M

$27.50

5.0x input

Context

1M

128K output

Paid /1M

$1.72

measured, cache included

Capabilities 6/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What claude-opus-4-8 costs

Provider prices per 1M tokens, updated August 27, 2026.more

These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.

Input /1M

$5.50

Output /1M

$27.50

Cache write /1M

$6.88

Cache read /1M

$0.55

What a workload costs

100K input + 10K output
$0.82
1M input + 100K output
$8.25
10M input + 1M output
$82.50

At the rates above, before caching. A cache read costs $0.55 per 1M, so repeated context lands under these figures.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

bedrock/claude-opus-4-8@eu-central-1

This exact deployment on AWS Bedrock in eu-central-1, with no routing and no failover. Send it as the model field.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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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@eu-central-1", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Live from production

AWS Bedrock on claude-opus-4-8, measured

What this provider was measured doing on claude-opus-4-8 across Requesty traffic.more

Whole-window figures, because that is the grain published per provider. They cover AWS Bedrock serving this model in every region it serves it from, so a region-pinned deployment shares them with its siblings. A figure is absent where no qualifying sample exists.

First token

2.19s

median

p95 wait

6.08s

slowest 5%

Output speed

91/s

median tokens

Paid /1M

$1.72

blended, cache included

Cache hit

81.7%

of input tokens

Compare these against the other 2 providers serving claude-opus-4-8.

Reference

Specs and data terms

What the catalog reports for this deployment, and what the provider does with the traffic.

Context window1M tokens
Max output128K tokens
API typechat
AddedMay 2026
Model id
Data retentionNone
Used for trainingNo
Served from🇪🇺 EU
Privacy policyAWS Privacy Notice

Released 2026-05-28

Benchmark scores

Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.

Coding Indexcoding
74.3%

Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
92.0%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
57.3%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from official model cards, Artificial Analysis and public leaderboards. They measure specific skills and do not capture every aspect of model quality, so test on your own workload.

Same provider

More from AWS Bedrock

Newest first, on the same provider and the same key.

Reference

claude-opus-4-8 questions

How much does claude-opus-4-8 cost?

claude-opus-4-8 is priced at $5.50 per million input tokens and $27.50 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. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

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.

How does claude-opus-4-8 perform on benchmarks?

claude-opus-4-8 scores 94.4% on τ²-Bench, 92.0% on GPQA Diamond, 74.3% on Coding Index. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.

What can claude-opus-4-8 do?

claude-opus-4-8 supports vision input, tool calling, extended reasoning, prompt caching, structured outputs (JSON schema), 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@eu-central-1". The Quickstart above shows Python, JavaScript and cURL snippets.

Can I run claude-opus-4-8 through Requesty?

Yes. claude-opus-4-8 runs through Requesty's OpenAI-compatible API, served from AWS Bedrock in eu-central-1. You do not host the model yourself: point base_url at Requesty, set the model to "bedrock/claude-opus-4-8@eu-central-1", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

What region is this deployment?

This variant of claude-opus-4-8 is deployed in eu-central-1. 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 AWS Bedrock provider page.

Call claude-opus-4-8 through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.

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