LLMs
LLMs
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
Copied!
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