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claude-opus-5

Opus 5 is the most capable model in Anthropic's Opus family, built for long running, asynchronous agents operating with full autonomy. It advances the coding and agentic strengths of Opus 4.8 with stronger planning, more reliable execution across extended multi step workflows, and better judgment on when to act and when to escalate. It excels in asynchronous agent pipelines spanning large codebases, multi stage debugging, and end to end project orchestration. Beyond coding, Opus 5 delivers frontier knowledge work, from drafting documents and building presentations to deep data analysis, and maintains coherence across very long outputs and extended sessions, making it the default choice for work that requires persistence, judgment, and follow through.

VisionReasoningTool callingCachingJSON schemaComputer use
CompareDocs

Specifications

Context window1M tokens
Max output128K tokens
API typechat
AddedJul 24, 2026
Model IDbedrock/claude-opus-5
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US / 🇪🇺 EU
Privacy policyAWS Privacy Notice→

Benchmarks

Released 2026-07-24
Coding Indexcoding
78.0%

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

GPQA Diamondreasoning
93.2%

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

Intelligence Indexreasoning
60.7%

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

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

Pricing

Prices updated July 25, 2026
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-5.

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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-5",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other AWS Bedrock models

claude-opus-5
@ap-northeast-1
1M ctx$5.50/1M
Coding 78
claude-opus-5
@eu-central-1
1M ctx$5.50/1M
Coding 78
claude-opus-5
@eu-north-1
1M ctx$5.50/1M
Coding 78
claude-opus-5
@eu-west-3
1M ctx$5.50/1M
Coding 78
claude-opus-5
@eu-west-1
1M ctx$5.50/1M
Coding 78
claude-sonnet-5
@eu-north-1
1M ctx$2.20/1M
Coding 72

Frequently asked questions

How much does claude-opus-5 cost?
claude-opus-5 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-5?
claude-opus-5 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-5 perform on benchmarks?
claude-opus-5 scores 93.2% on GPQA Diamond, 78.0% on Coding Index, 60.7% on Intelligence 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-5 do?
claude-opus-5 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-5 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-5". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run claude-opus-5 through Requesty?
Yes. claude-opus-5 runs through Requesty's OpenAI-compatible API, served from AWS Bedrock. You do not host the model yourself: point base_url at Requesty, set the model to "bedrock/claude-opus-5", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Access claude-opus-5 through Requesty

One API key, 600+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

All AWS Bedrock models