LLMs

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Claude 3.5 Sonnet API

Claude 3.5 Sonnet is Anthropic’s streamlined model optimized for lightweight natural language tasks prioritizing rapid execution.

1RPC.ai

Reasoning

Speed

$3

/

$15

Input/Output

200,000

Context Window

Claude 3.5 Sonnet

Claude 3.5 Sonnet was released in mid-2024 as the next step up from Claude 3 Opus, providing significant improvements in speed and cost, while performing better for graduate-level reasoning, undergraduate knowledge, and coding proficiency.

This model incorporates Anthropic’s hybrid reasoning architecture, allowing seamless switching between fast outputs and more deliberative extended thinking when enhanced accuracy or multi-step problem solving is needed. Its robust visual math reasoning and document Q&A capabilities make it a leader in handling multimodal data.

What it’s optimized for

Claude 3.5 Sonnet is designed for:

  • Complex reasoning including graduate-level problem solving and undergraduate knowledge tasks

  • High-throughput, cost-effective AI deployments requiring fast, reliable inference

  • Multimodal understanding and generation with strong performance on images, charts, and diagrams

  • Advanced coding tasks including bug fixes, code generation, and legacy code migration

  • Customer support and multi-step workflow orchestration in business applications

  • Content generation that demands a natural, nuanced tone and style

Typical use cases

Claude 3.5 Sonnet excels in:

  • Customer-facing chatbots needing context-sensitive, human-like dialogue

  • Automated code editing and debugging with integrated reasoning and execution

  • Visual data interpretation for retail, logistics, financial services, and more

  • Academic research assistance requiring multi-document synthesis and detailed analysis

  • Workflow automation with complex, multi-turn instructions and steps

  • Content creation across marketing, technical documentation, and creative domains

Key characteristics

  • Approximately 2x faster inference speed compared to Claude 3 Opus

  • Outstanding graduate-level reasoning (71.1% on GPQA) and undergraduate-level knowledge benchmarks (MMLU)

  • Top performance in BIG-Bench-Hard benchmark (93.1%), demonstrating sophisticated multi-domain problem solving

  • Leading visual reasoning capabilities: 67.7% on MathVista visual math test and high accuracy on visual question answering

  • Strong legal domain reasoning, outperforming GPT-4 on criminal law benchmarks

  • Extensive safety testing and industry-leading privacy protections

  • Multimodal input: native support for text and image interpretation, including charts and graphics

  • Available via Anthropic API, Claude.ai, Amazon Bedrock, and Google Cloud Vertex AI

Model architecture

Built on Anthropic’s hybrid transformer architecture, Claude 3.5 Sonnet leverages a dynamic reasoning approach that blends rapid responses with extended, deliberative “thinking” sessions visible to users. This lets the model flexibly address a variety of tasks, from quick replies to complex multi-step problems.

The large context window supports sustained dialogues and deep document understanding, while its multimodal training enables native processing of image and text inputs, enhancing versatility in real-world applications.

Why choose 1RPC.ai for Claude 3.5 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 3.5 Sonnet represents a balance of intelligence, speed, cost-efficiency, and multimodal capability. It outperforms its predecessor and many competitors on a broad set of benchmarks, especially in graduate-level reasoning, coding, and visual understanding.

Moreover, it offers a large context window suitable for extensive workflows.

An ideal model when you need advanced reasoning, robust multimodal inputs, and efficient, cost-effective deployment.

Claude 3.5 Sonnet

Claude 3.5 Sonnet was released in mid-2024 as the next step up from Claude 3 Opus, providing significant improvements in speed and cost, while performing better for graduate-level reasoning, undergraduate knowledge, and coding proficiency.

This model incorporates Anthropic’s hybrid reasoning architecture, allowing seamless switching between fast outputs and more deliberative extended thinking when enhanced accuracy or multi-step problem solving is needed. Its robust visual math reasoning and document Q&A capabilities make it a leader in handling multimodal data.

What it’s optimized for

Claude 3.5 Sonnet is designed for:

  • Complex reasoning including graduate-level problem solving and undergraduate knowledge tasks

  • High-throughput, cost-effective AI deployments requiring fast, reliable inference

  • Multimodal understanding and generation with strong performance on images, charts, and diagrams

  • Advanced coding tasks including bug fixes, code generation, and legacy code migration

  • Customer support and multi-step workflow orchestration in business applications

  • Content generation that demands a natural, nuanced tone and style

Typical use cases

Claude 3.5 Sonnet excels in:

  • Customer-facing chatbots needing context-sensitive, human-like dialogue

  • Automated code editing and debugging with integrated reasoning and execution

  • Visual data interpretation for retail, logistics, financial services, and more

  • Academic research assistance requiring multi-document synthesis and detailed analysis

  • Workflow automation with complex, multi-turn instructions and steps

  • Content creation across marketing, technical documentation, and creative domains

Key characteristics

  • Approximately 2x faster inference speed compared to Claude 3 Opus

  • Outstanding graduate-level reasoning (71.1% on GPQA) and undergraduate-level knowledge benchmarks (MMLU)

  • Top performance in BIG-Bench-Hard benchmark (93.1%), demonstrating sophisticated multi-domain problem solving

  • Leading visual reasoning capabilities: 67.7% on MathVista visual math test and high accuracy on visual question answering

  • Strong legal domain reasoning, outperforming GPT-4 on criminal law benchmarks

  • Extensive safety testing and industry-leading privacy protections

  • Multimodal input: native support for text and image interpretation, including charts and graphics

  • Available via Anthropic API, Claude.ai, Amazon Bedrock, and Google Cloud Vertex AI

Model architecture

Built on Anthropic’s hybrid transformer architecture, Claude 3.5 Sonnet leverages a dynamic reasoning approach that blends rapid responses with extended, deliberative “thinking” sessions visible to users. This lets the model flexibly address a variety of tasks, from quick replies to complex multi-step problems.

The large context window supports sustained dialogues and deep document understanding, while its multimodal training enables native processing of image and text inputs, enhancing versatility in real-world applications.

Why choose 1RPC.ai for Claude 3.5 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 3.5 Sonnet represents a balance of intelligence, speed, cost-efficiency, and multimodal capability. It outperforms its predecessor and many competitors on a broad set of benchmarks, especially in graduate-level reasoning, coding, and visual understanding.

Moreover, it offers a large context window suitable for extensive workflows.

An ideal model when you need advanced reasoning, robust multimodal inputs, and efficient, cost-effective deployment.

Claude 3.5 Sonnet

Claude 3.5 Sonnet was released in mid-2024 as the next step up from Claude 3 Opus, providing significant improvements in speed and cost, while performing better for graduate-level reasoning, undergraduate knowledge, and coding proficiency.

This model incorporates Anthropic’s hybrid reasoning architecture, allowing seamless switching between fast outputs and more deliberative extended thinking when enhanced accuracy or multi-step problem solving is needed. Its robust visual math reasoning and document Q&A capabilities make it a leader in handling multimodal data.

What it’s optimized for

Claude 3.5 Sonnet is designed for:

  • Complex reasoning including graduate-level problem solving and undergraduate knowledge tasks

  • High-throughput, cost-effective AI deployments requiring fast, reliable inference

  • Multimodal understanding and generation with strong performance on images, charts, and diagrams

  • Advanced coding tasks including bug fixes, code generation, and legacy code migration

  • Customer support and multi-step workflow orchestration in business applications

  • Content generation that demands a natural, nuanced tone and style

Typical use cases

Claude 3.5 Sonnet excels in:

  • Customer-facing chatbots needing context-sensitive, human-like dialogue

  • Automated code editing and debugging with integrated reasoning and execution

  • Visual data interpretation for retail, logistics, financial services, and more

  • Academic research assistance requiring multi-document synthesis and detailed analysis

  • Workflow automation with complex, multi-turn instructions and steps

  • Content creation across marketing, technical documentation, and creative domains

Key characteristics

  • Approximately 2x faster inference speed compared to Claude 3 Opus

  • Outstanding graduate-level reasoning (71.1% on GPQA) and undergraduate-level knowledge benchmarks (MMLU)

  • Top performance in BIG-Bench-Hard benchmark (93.1%), demonstrating sophisticated multi-domain problem solving

  • Leading visual reasoning capabilities: 67.7% on MathVista visual math test and high accuracy on visual question answering

  • Strong legal domain reasoning, outperforming GPT-4 on criminal law benchmarks

  • Extensive safety testing and industry-leading privacy protections

  • Multimodal input: native support for text and image interpretation, including charts and graphics

  • Available via Anthropic API, Claude.ai, Amazon Bedrock, and Google Cloud Vertex AI

Model architecture

Built on Anthropic’s hybrid transformer architecture, Claude 3.5 Sonnet leverages a dynamic reasoning approach that blends rapid responses with extended, deliberative “thinking” sessions visible to users. This lets the model flexibly address a variety of tasks, from quick replies to complex multi-step problems.

The large context window supports sustained dialogues and deep document understanding, while its multimodal training enables native processing of image and text inputs, enhancing versatility in real-world applications.

Why choose 1RPC.ai for Claude 3.5 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 3.5 Sonnet represents a balance of intelligence, speed, cost-efficiency, and multimodal capability. It outperforms its predecessor and many competitors on a broad set of benchmarks, especially in graduate-level reasoning, coding, and visual understanding.

Moreover, it offers a large context window suitable for extensive workflows.

An ideal model when you need advanced reasoning, robust multimodal inputs, and efficient, cost-effective deployment.

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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-3-5-sonnet-20241022",
        "max_tokens": 1024,
        "messages": [
            {
                "role": "user",
                "content": "What is the meaning of life?"
            }
        ]
    })
)

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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-3-5-sonnet-20241022",
        "max_tokens": 1024,
        "messages": [
            {
                "role": "user",
                "content": "What is the meaning of life?"
            }
        ]
    })
)

Copy and go

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