LLMs

LLMs

Claude 3.7 Sonnet API

Claude 3.7 Sonnet features a toggleable hybrid reasoning system, enabling deeper cognitive processing when required. It supports complex reasoning tasks involving extended logical inference, detailed analytical workflows, structured problem-solving, and tasks benefiting from adjustable reasoning depth.

1RPC.ai

Reasoning

Speed

$3

/

$15

Input/Output

200,000

Context Window

Claude 3.7 Sonnet

Claude 3.7 Sonnet was officially released in early 2025 and builds on previous Sonnet versions by significantly improving reasoning, coding, and real-world problem-solving capabilities while maintaining competitive speed and cost structures.

Its hybrid design enables it to deliver near-instant answers or engage in deeper analytical thinking (“extended thinking mode”) that is transparent and adjustable by users, making it highly adaptable for both quick-turnaround and intricate problem-solving tasks.

What it’s optimized for

Claude 3.7 Sonnet is tailored for:

  • Hybrid reasoning that balances rapid replies with detailed, multi-step analyses

  • Handling large contexts for complex documents, long conversations, and extensive codebases

  • Advanced coding and debugging tasks, including front-end web development

  • Research assistance, mathematical problem solving, and data interpretation

  • Real-time applications such as chatbots and workflow automation requiring responsive and accurate outputs

  • Cost-effective scaling for enterprise and developer needs

Typical use cases

Claude 3.7 Sonnet is well suited for:

  • Software engineering tasks, including code generation, review, and debugging

  • AI-powered customer support and interactive chatbots requiring fast, coherent responses

  • Complex research workflows involving multi-document analysis and synthesis

  • Math and science problem solving at advanced (graduate) levels

  • Content creation, editing, and summarization with fine-grained style and tone control

  • Business automation and multi-step logical workflows

Key characteristics

  • Users can toggle between quick replies and extended, visible thought processes (“extended thinking mode”) for deeper insights via hybrid reasoning modes

  • 62.3% accuracy on SWE-bench Verified software engineering tasks, significantly improving upon prior models

  • 81.2% accuracy in retail and 58.4% in airline-related tasks, surpassing earlier versions

  • Achieves 80.0% accuracy on AIME 2024 benchmark with extended thinking enabled

  • Faster response times than higher-tier models without significant loss in output quality

  • Mainly text-based with strong NLP, coding, and multi-step reasoning capabilities

  • Available via Anthropic API, Claude subscription tiers (Free, Pro, Team, Enterprise), Amazon Bedrock, and Google Cloud Vertex AI

Model architecture

Claude 3.7 Sonnet is based on Anthropic’s hybrid transformer architecture that combines rapid inference with the capacity for extended deliberative processing. This architecture enables it to alternate dynamically between producing instant responses and engaging in extended stepwise reasoning visible to users.

Why choose 1RPC.ai for Claude 3.7 Sonnet

  • Every call is directly tied to the exact model and version used, ensuring traceability and trust in your outputs

  • Execution runs inside hardware-backed enclaves, so the relay can’t access or log your request

  • Connect to multiple AI providers through a single API

  • Avoid provider lock-in with simple, pay-per-prompt pricing

  • Privacy by design with our zero-tracking infrastructure that eliminates metadata leakage and protects your activity

Summary

Claude 3.7 Sonnet is designed to excel in both rapid and complex tasks across coding, reasoning, and real-world applications while remaining cost-effective. Its extensive context handling and optional extended thinking mode make it suitable for diverse workloads, from interactive chatbots to advanced research and development.

Claude 3.7 Sonnet

Claude 3.7 Sonnet was officially released in early 2025 and builds on previous Sonnet versions by significantly improving reasoning, coding, and real-world problem-solving capabilities while maintaining competitive speed and cost structures.

Its hybrid design enables it to deliver near-instant answers or engage in deeper analytical thinking (“extended thinking mode”) that is transparent and adjustable by users, making it highly adaptable for both quick-turnaround and intricate problem-solving tasks.

What it’s optimized for

Claude 3.7 Sonnet is tailored for:

  • Hybrid reasoning that balances rapid replies with detailed, multi-step analyses

  • Handling large contexts for complex documents, long conversations, and extensive codebases

  • Advanced coding and debugging tasks, including front-end web development

  • Research assistance, mathematical problem solving, and data interpretation

  • Real-time applications such as chatbots and workflow automation requiring responsive and accurate outputs

  • Cost-effective scaling for enterprise and developer needs

Typical use cases

Claude 3.7 Sonnet is well suited for:

  • Software engineering tasks, including code generation, review, and debugging

  • AI-powered customer support and interactive chatbots requiring fast, coherent responses

  • Complex research workflows involving multi-document analysis and synthesis

  • Math and science problem solving at advanced (graduate) levels

  • Content creation, editing, and summarization with fine-grained style and tone control

  • Business automation and multi-step logical workflows

Key characteristics

  • Users can toggle between quick replies and extended, visible thought processes (“extended thinking mode”) for deeper insights via hybrid reasoning modes

  • 62.3% accuracy on SWE-bench Verified software engineering tasks, significantly improving upon prior models

  • 81.2% accuracy in retail and 58.4% in airline-related tasks, surpassing earlier versions

  • Achieves 80.0% accuracy on AIME 2024 benchmark with extended thinking enabled

  • Faster response times than higher-tier models without significant loss in output quality

  • Mainly text-based with strong NLP, coding, and multi-step reasoning capabilities

  • Available via Anthropic API, Claude subscription tiers (Free, Pro, Team, Enterprise), Amazon Bedrock, and Google Cloud Vertex AI

Model architecture

Claude 3.7 Sonnet is based on Anthropic’s hybrid transformer architecture that combines rapid inference with the capacity for extended deliberative processing. This architecture enables it to alternate dynamically between producing instant responses and engaging in extended stepwise reasoning visible to users.

Why choose 1RPC.ai for Claude 3.7 Sonnet

  • Every call is directly tied to the exact model and version used, ensuring traceability and trust in your outputs

  • Execution runs inside hardware-backed enclaves, so the relay can’t access or log your request

  • Connect to multiple AI providers through a single API

  • Avoid provider lock-in with simple, pay-per-prompt pricing

  • Privacy by design with our zero-tracking infrastructure that eliminates metadata leakage and protects your activity

Summary

Claude 3.7 Sonnet is designed to excel in both rapid and complex tasks across coding, reasoning, and real-world applications while remaining cost-effective. Its extensive context handling and optional extended thinking mode make it suitable for diverse workloads, from interactive chatbots to advanced research and development.

Claude 3.7 Sonnet

Claude 3.7 Sonnet was officially released in early 2025 and builds on previous Sonnet versions by significantly improving reasoning, coding, and real-world problem-solving capabilities while maintaining competitive speed and cost structures.

Its hybrid design enables it to deliver near-instant answers or engage in deeper analytical thinking (“extended thinking mode”) that is transparent and adjustable by users, making it highly adaptable for both quick-turnaround and intricate problem-solving tasks.

What it’s optimized for

Claude 3.7 Sonnet is tailored for:

  • Hybrid reasoning that balances rapid replies with detailed, multi-step analyses

  • Handling large contexts for complex documents, long conversations, and extensive codebases

  • Advanced coding and debugging tasks, including front-end web development

  • Research assistance, mathematical problem solving, and data interpretation

  • Real-time applications such as chatbots and workflow automation requiring responsive and accurate outputs

  • Cost-effective scaling for enterprise and developer needs

Typical use cases

Claude 3.7 Sonnet is well suited for:

  • Software engineering tasks, including code generation, review, and debugging

  • AI-powered customer support and interactive chatbots requiring fast, coherent responses

  • Complex research workflows involving multi-document analysis and synthesis

  • Math and science problem solving at advanced (graduate) levels

  • Content creation, editing, and summarization with fine-grained style and tone control

  • Business automation and multi-step logical workflows

Key characteristics

  • Users can toggle between quick replies and extended, visible thought processes (“extended thinking mode”) for deeper insights via hybrid reasoning modes

  • 62.3% accuracy on SWE-bench Verified software engineering tasks, significantly improving upon prior models

  • 81.2% accuracy in retail and 58.4% in airline-related tasks, surpassing earlier versions

  • Achieves 80.0% accuracy on AIME 2024 benchmark with extended thinking enabled

  • Faster response times than higher-tier models without significant loss in output quality

  • Mainly text-based with strong NLP, coding, and multi-step reasoning capabilities

  • Available via Anthropic API, Claude subscription tiers (Free, Pro, Team, Enterprise), Amazon Bedrock, and Google Cloud Vertex AI

Model architecture

Claude 3.7 Sonnet is based on Anthropic’s hybrid transformer architecture that combines rapid inference with the capacity for extended deliberative processing. This architecture enables it to alternate dynamically between producing instant responses and engaging in extended stepwise reasoning visible to users.

Why choose 1RPC.ai for Claude 3.7 Sonnet

  • Every call is directly tied to the exact model and version used, ensuring traceability and trust in your outputs

  • Execution runs inside hardware-backed enclaves, so the relay can’t access or log your request

  • Connect to multiple AI providers through a single API

  • Avoid provider lock-in with simple, pay-per-prompt pricing

  • Privacy by design with our zero-tracking infrastructure that eliminates metadata leakage and protects your activity

Summary

Claude 3.7 Sonnet is designed to excel in both rapid and complex tasks across coding, reasoning, and real-world applications while remaining cost-effective. Its extensive context handling and optional extended thinking mode make it suitable for diverse workloads, from interactive chatbots to advanced research and development.

Like this article? Share it.

Implement

Implement

Get started with an API-friendly relay

Send your first request to verified LLMs with a single code snippet.

import requests
import json

response = requests.post(
    url="https://1rpc.ai/v1/chat/completions",
    headers={
        "Authorization": "Bearer <1RPC_AI_API_KEY>",
        "Content-type": "application/json",
    },
    data=json.dumps ({
        "model": "claude-3-7-sonnet-20250219",
        "max_tokens": 1024,
        "messages": [
            {
                "role": "user",
                "content": "What is the meaning of life?"
            }
        ]
    })
)

Copy and go

Copied!

import requests
import json

response = requests.post(
    url="https://1rpc.ai/v1/chat/completions",
    headers={
        "Authorization": "Bearer <1RPC_AI_API_KEY>",
        "Content-type": "application/json",
    },
    data=json.dumps ({
        "model": "claude-3-7-sonnet-20250219",
        "max_tokens": 1024,
        "messages": [
            {
                "role": "user",
                "content": "What is the meaning of life?"
            }
        ]
    })
)

Copy and go

Copied!

Pricing

Pricing

Estimate Usage Across Any AI Model

Adjust input and output size to estimate token usage and costs.

Token Calculator for Claude 3.7 Sonnet

Input (100)

100

Output (1000 )

1000

$0.0153

Total cost per million tokens