Introducing Anthropic’s Claude Opus 4.7 mannequin in Amazon Bedrock

Immediately, we’re asserting Claude Opus 4.7 in Amazon Bedrock, Anthropic’s most clever Opus mannequin for advancing efficiency throughout coding, long-running brokers, {and professional} work.

Claude Opus 4.7 is powered by Amazon Bedrock’s subsequent technology inference engine, delivering enterprise-grade infrastructure for manufacturing workloads. Bedrock’s new inference engine has brand-new scheduling and scaling logic which dynamically allocates capability to requests, bettering availability significantly for steady-state workloads whereas making room for quickly scaling providers. It gives zero operator entry—that means buyer prompts and responses are by no means seen to Anthropic or AWS operators—holding delicate information non-public.

In keeping with Anthropic, Claude Opus 4.7 mannequin gives enhancements throughout the workflows that groups run in manufacturing resembling agentic coding, data work, visible understanding,long-running duties. Opus 4.7 works higher by means of ambiguity, is extra thorough in its downside fixing, and follows directions extra exactly.

• Agentic coding: The mannequin extends Opus 4.6’s lead in agentic coding, with stronger efficiency on long-horizon autonomy, programs engineering, and complicated code reasoning duties. In keeping with Anthropic, the mannequin data high-performance scores with 64.3% on SWE-bench Professional, 87.6% on SWE-bench Verified, and 69.4% on Terminal-Bench 2.0.
• Data work: The mannequin advances skilled data work, with stronger efficiency on doc creation, monetary evaluation, and multi-step analysis workflows. The mannequin causes by means of underspecified requests, making wise assumptions and stating them clearly, and self-verifies its output to enhance high quality on step one. In keeping with Anthropic, the mannequin reaches 64.4% on Finance Agent v1.1.
• Lengthy-running duties: The mannequin stays on monitor over longer horizons, with stronger efficiency over its full 1M token context window because it causes by means of ambiguity and self-verifies its output.
• Imaginative and prescient: the mannequin provides high-resolution picture help, bettering accuracy on charts, dense paperwork, and display UIs the place high quality element issues.

The mannequin is an improve from Opus 4.6 however might require prompting modifications and harness tweaks to get probably the most out of the mannequin. To study extra, go to Anthropic’s prompting information.

Claude Opus 4.7 mannequin in motion

You will get began with Claude Opus 4.7 mannequin in Amazon Bedrock console. Select Playground beneath Take a look at menu and select Claude Opus 4.7 when you choose mannequin. Now, you possibly can check your advanced coding immediate with the mannequin.

I run the next immediate instance about technical structure choice:

Design a distributed structure on AWS in Python that ought to help 100k requests per second throughout a number of geographic areas.

You may also entry the mannequin programmatically utilizing the Anthropic Messages API to name the bedrock-runtime by means of Anthropic SDK or bedrock-mantle endpoints, or hold utilizing the Invoke and Converse API on bedrock-runtime by means of the AWS Command Line Interface (AWS CLI) and AWS SDK.

To get began with making your first API name to Amazon Bedrock in minutes, select Quickstart within the left navigation pane within the console. After selecting your use case, you possibly can generate a brief time period API key to authenticate your requests as testing goal.

Whenever you select the API technique such because the OpenAI-compatible Responses API, you will get pattern codes to run your immediate to make your inference request utilizing the mannequin.

To invoke the mannequin by means of the Anthropic Claude Messages API, you possibly can proceed as follows utilizing anthropic[bedrock] SDK package deal for a streamlined expertise:

from anthropic import AnthropicBedrockMantle
# Initialize the Bedrock Mantle shopper (makes use of SigV4 auth mechanically)
mantle_client = AnthropicBedrockMantle(aws_region="us-east-1")
# Create a message utilizing the Messages API
message = mantle_client.messages.create(
    mannequin="us.anthropic.claude-opus-4-7",
    max_tokens=32000,
    messages=[ 
	    {"role": "user", "content": "Design a distributed architecture on AWS in Python that should support 100k requests per second across multiple geographic regions"}
    ]
)
print(message.content material[0].textual content)

You may also run the next command to invoke the mannequin on to bedrock-runtime endpoint utilizing the AWS CLI and the Invoke API:

aws bedrock-runtime invoke-model  
 --model-id us.anthropic.claude-opus-4-7  
 --region us-east-1  
 --body '{"anthropic_version":"bedrock-2023-05-31", "messages": [{"role": "user", "content": "Design a distributed architecture on AWS in Python that should support 100k requests per second across multiple geographic regions."}], "max_tokens": 32000}'  
 --cli-binary-format raw-in-base64-out  
invoke-model-output.txt

For extra clever reasoning functionality, you need to use Adaptive considering with Claude Opus 4.7, which lets Claude dynamically allocate considering token budgets primarily based on the complexity of every request.

To study extra, go to the Anthropic Claude Messages API and take a look at code examples for a number of use instances and quite a lot of programming languages.

Issues to know

Let me share some necessary technical particulars that I feel you’ll discover helpful.

• Selecting APIs: You’ll be able to select from quite a lot of Bedrock APIs for mannequin inference, in addition to the Anthropic Messages API. The Bedrock-native Converse API helps multi-turn conversations and Guardrails integration. The Invoke API gives direct mannequin invocation and lowest-level management.
• Scaling and capability: Bedrock’s new inference engine is designed to quickly provision and serve capability throughout many various fashions. When accepting requests, we prioritize holding regular state workloads working, and ramp utilization and capability quickly in response to modifications in demand. In periods of excessive demand, requests are queued, slightly than rejected. As much as 10,000 requests per minute (RPM) per account per Area can be found instantly, with extra obtainable upon request.

Now obtainable

Anthropic’s Claude Opus 4.7 mannequin is on the market at this time within the US East (N. Virginia), Asia Pacific (Tokyo), Europe (Eire), and Europe (Stockholm) Areas; examine the full listing of Areas for future updates. To study extra, go to the Claude by Anthropic in Amazon Bedrock web page and the Amazon Bedrock pricing web page.

Give Anthropic’s Claude Opus 4.7 a attempt within the Amazon Bedrock console at this time and ship suggestions to AWS re:Submit for Amazon Bedrock or by means of your ordinary AWS Help contacts.

— Channy

Up to date on April 17, 2026 – We fastened code samples and CLI commends to align new model.