LLMs
LLMs
Claude Opus 4 API
Claude Opus 4 is Anthropic’s model that’s purpose-built for high-stakes coding, advanced reasoning, and agentic workflows.
1RPC.ai
Reasoning
Speed
$15
/
$75
Input/Output
200,000
Context Window
Claude Opus 4
Claude Opus 4 was released in May 2025 and features an unprecedented 200K token context window and a unique hybrid reasoning architecture that switches seamlessly between instant responses and an “extended thinking” mode for multi-step, human-like deliberation.
This flexibility makes it ideal for intricate coding projects, autonomous AI agent workflows, comprehensive research tasks, and high-quality content creation.
What it’s optimized for
Claude Opus 4 excels at:
Hybrid reasoning combining fast answers with deep, multi-step “extended thinking”
Handling large contexts up to 200,000 tokens for workflows requiring extensive background and continuity
Integrating advanced memory management and tool usage, including web search and file operations to augment reasoning
Sophisticated coding support, including autonomous background tasks and seamless IDE integrations (e.g., VS Code, JetBrains)
Typical use cases
Claude Opus 4 is especially suitable for:
Large-scale, complex software engineering projects such as codebase migrations and refactoring
Autonomous AI agents managing diverse, multi-step business or research operations
Deep research and data-intensive tasks, including patent analysis, academic literature review, and strategic synthesis
Long-form, high-quality content generation, including technical documentation and marketing materials
Multi-modal workflows combining text and image inputs with advanced reasoning and tool use
Key characteristics
200,000-token context window for the processing of extensive documents, codebases, or ongoing workflows without losing coherence
Hybrid reasoning modes with near-instant responses for quick tasks and extended thinking mode for complex problem solving with developer-controlled “thinking budgets”
Maintains structured “memory files” autonomously and dynamically uses external tools like web search and files API
Achieved 72.5% on SWE-bench (software engineering), 43.2% on Terminal-bench (coding/terminal tasks), and strong multidisciplinary reasoning on MMLU and GPQA
Native support for pair programming via Claude Code integrated with popular IDEs and ability to autonomously run background tasks
Competitive with lower latency compared to average despite large context capacity, with around 2.1 seconds time to first token
Accessible via Anthropic API, Amazon Bedrock, Google Cloud Vertex AI, and included in multiple Claude subscription tiers
Model architecture
Claude Opus 4 is built as a hybrid reasoning transformer model combining fast inference with a distinct extended thinking mode that simulates in-depth cognitive processing. Its architecture supports extremely large context windows, native multimodal inputs, and tight integration with external tools and memory management subsystems. The underlying design enables consistent, accurate performance on sustained, multi-step tasks such as reasoning, coding, and AI agent orchestration.
Why choose 1RPC.ai for Claude Opus 4
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 Opus 4 brings a combination of speed, scale and deep reasoning to advanced coding.
Ideal for enterprises and developers who require unmatched precision, context-awareness, and computational power in AI-assisted tasks.
Claude Opus 4
Claude Opus 4 was released in May 2025 and features an unprecedented 200K token context window and a unique hybrid reasoning architecture that switches seamlessly between instant responses and an “extended thinking” mode for multi-step, human-like deliberation.
This flexibility makes it ideal for intricate coding projects, autonomous AI agent workflows, comprehensive research tasks, and high-quality content creation.
What it’s optimized for
Claude Opus 4 excels at:
Hybrid reasoning combining fast answers with deep, multi-step “extended thinking”
Handling large contexts up to 200,000 tokens for workflows requiring extensive background and continuity
Integrating advanced memory management and tool usage, including web search and file operations to augment reasoning
Sophisticated coding support, including autonomous background tasks and seamless IDE integrations (e.g., VS Code, JetBrains)
Typical use cases
Claude Opus 4 is especially suitable for:
Large-scale, complex software engineering projects such as codebase migrations and refactoring
Autonomous AI agents managing diverse, multi-step business or research operations
Deep research and data-intensive tasks, including patent analysis, academic literature review, and strategic synthesis
Long-form, high-quality content generation, including technical documentation and marketing materials
Multi-modal workflows combining text and image inputs with advanced reasoning and tool use
Key characteristics
200,000-token context window for the processing of extensive documents, codebases, or ongoing workflows without losing coherence
Hybrid reasoning modes with near-instant responses for quick tasks and extended thinking mode for complex problem solving with developer-controlled “thinking budgets”
Maintains structured “memory files” autonomously and dynamically uses external tools like web search and files API
Achieved 72.5% on SWE-bench (software engineering), 43.2% on Terminal-bench (coding/terminal tasks), and strong multidisciplinary reasoning on MMLU and GPQA
Native support for pair programming via Claude Code integrated with popular IDEs and ability to autonomously run background tasks
Competitive with lower latency compared to average despite large context capacity, with around 2.1 seconds time to first token
Accessible via Anthropic API, Amazon Bedrock, Google Cloud Vertex AI, and included in multiple Claude subscription tiers
Model architecture
Claude Opus 4 is built as a hybrid reasoning transformer model combining fast inference with a distinct extended thinking mode that simulates in-depth cognitive processing. Its architecture supports extremely large context windows, native multimodal inputs, and tight integration with external tools and memory management subsystems. The underlying design enables consistent, accurate performance on sustained, multi-step tasks such as reasoning, coding, and AI agent orchestration.
Why choose 1RPC.ai for Claude Opus 4
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 Opus 4 brings a combination of speed, scale and deep reasoning to advanced coding.
Ideal for enterprises and developers who require unmatched precision, context-awareness, and computational power in AI-assisted tasks.
Claude Opus 4
Claude Opus 4 was released in May 2025 and features an unprecedented 200K token context window and a unique hybrid reasoning architecture that switches seamlessly between instant responses and an “extended thinking” mode for multi-step, human-like deliberation.
This flexibility makes it ideal for intricate coding projects, autonomous AI agent workflows, comprehensive research tasks, and high-quality content creation.
What it’s optimized for
Claude Opus 4 excels at:
Hybrid reasoning combining fast answers with deep, multi-step “extended thinking”
Handling large contexts up to 200,000 tokens for workflows requiring extensive background and continuity
Integrating advanced memory management and tool usage, including web search and file operations to augment reasoning
Sophisticated coding support, including autonomous background tasks and seamless IDE integrations (e.g., VS Code, JetBrains)
Typical use cases
Claude Opus 4 is especially suitable for:
Large-scale, complex software engineering projects such as codebase migrations and refactoring
Autonomous AI agents managing diverse, multi-step business or research operations
Deep research and data-intensive tasks, including patent analysis, academic literature review, and strategic synthesis
Long-form, high-quality content generation, including technical documentation and marketing materials
Multi-modal workflows combining text and image inputs with advanced reasoning and tool use
Key characteristics
200,000-token context window for the processing of extensive documents, codebases, or ongoing workflows without losing coherence
Hybrid reasoning modes with near-instant responses for quick tasks and extended thinking mode for complex problem solving with developer-controlled “thinking budgets”
Maintains structured “memory files” autonomously and dynamically uses external tools like web search and files API
Achieved 72.5% on SWE-bench (software engineering), 43.2% on Terminal-bench (coding/terminal tasks), and strong multidisciplinary reasoning on MMLU and GPQA
Native support for pair programming via Claude Code integrated with popular IDEs and ability to autonomously run background tasks
Competitive with lower latency compared to average despite large context capacity, with around 2.1 seconds time to first token
Accessible via Anthropic API, Amazon Bedrock, Google Cloud Vertex AI, and included in multiple Claude subscription tiers
Model architecture
Claude Opus 4 is built as a hybrid reasoning transformer model combining fast inference with a distinct extended thinking mode that simulates in-depth cognitive processing. Its architecture supports extremely large context windows, native multimodal inputs, and tight integration with external tools and memory management subsystems. The underlying design enables consistent, accurate performance on sustained, multi-step tasks such as reasoning, coding, and AI agent orchestration.
Why choose 1RPC.ai for Claude Opus 4
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 Opus 4 brings a combination of speed, scale and deep reasoning to advanced coding.
Ideal for enterprises and developers who require unmatched precision, context-awareness, and computational power in AI-assisted tasks.
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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-opus-4-20250514",
"max_tokens": 1024,
"messages": [
{
"role": "user",
"content": "What is the meaning of life?"
}
]
})
)Copy and go
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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-opus-4-20250514",
"max_tokens": 1024,
"messages": [
{
"role": "user",
"content": "What is the meaning of life?"
}
]
})
)Copy and go
Copied!
Pricing
Pricing
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$0.0765
Total cost per million tokens