Claude Opus 4
Last Updated on: Sep 12, 2025
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What is Claude Opus 4?
Claude Opus 4 is Anthropic’s most powerful, frontier-capability AI model optimized for deep reasoning and advanced software engineering. It sets industry-leading scores in coding (SWE-bench: 72.5 %; Terminal-bench: 43.2 %) and can sustain autonomous workflows—like an open-source refactor—for up to seven hours straight
Who can use Claude Opus 4 & how?
- Developers & Engineers: Drive end-to-end coding projects, debugging, multi-file refactors, tests, and CI pipelines.
- Data Scientists & Analysts: Analyze complex data, interpret visuals, and surface insights from lengthy documents.
- AI & Automation Teams: Build sophisticated AI agents and multi-step workflows with strong reasoning.
- Enterprise & AI-Powered App Builders: Embed Opus 4 via Anthropic API, Amazon Bedrock, Google Vertex AI, Snowflake Cortex AI, and Databricks.
- Writers & Knowledge Teams: Generate polished content and get accurate Q&A over extensive datasets.
How to Use Claude Opus 4?
- Get Access: Available through Anthropic’s API, Amazon Bedrock, and Google Vertex AI on Pro/Max/Team/Enterprise plans.
- Choose Mode: Use Standard Mode for fast answers or enable Extended Thinking for deeper, transparent multi-step reasoning.
- Set Token & Thinking Budgets: Configure input pages and allocate thinking tokens (up to 64K+) to balance speed, depth, and cost.
- Run Long-Running Code Sessions: Launch and maintain complex workflows, refactors, CLI tasks via Claude Code agent interface.
What's so unique or special about Claude Opus 4?
- Unmatched Endurance: Can autonomously execute coding projects uninterrupted for up to seven hours without losing context.
- Benchmark-Driven Excellence: Highest-reported SWE-bench score (72.5%) and leading Terminal-bench result (43.2%).
- Hybrid-Reasoning Model: Offers instant responses or deep reasoning/control, no model switch needed.
- Flagship Coding Agent: Supports agentic command-line workflows via Claude Code—ideal for CI, testing, and automation.
- Broad Enterprise Availability: Accessible via major cloud APIs (Anthropic, Bedrock, Vertex), making deployment flexible.
Things We Like
- Highly capable in real-world programming and debugging
- Best-in-class reasoning and coding benchmark performance
- Long-running sessions ideal for agentic workflows
- Hybrid response control: fast or deep depending on use case
- Flexible API and cloud integration options
Things We Don't Like
- Requires significant tokens for complex tasks
- Advanced capabilities only on paid plans
- Overpowered for casual or lightweight use cases
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Pricing
PaidPro Mode
$20/month
Access to Research
Connect Google Workspace: email, calendar, and docs
Connect any context or tool through Integrations with remote MCP
Extended thinking for complex work
Ability to use more Claude models
Connect Google Workspace: email, calendar, and docs
Connect any context or tool through Integrations with remote MCP
Extended thinking for complex work
Ability to use more Claude models
Max
$100/month
- Choose 5x or 20x more usage than Pro
- Higher output limits for all tasks
- Early access to advanced Claude features
- Priority access at high traffic times
API Usage
$15/$75 per 1M tokens
- $15 input & $75 output per 1M tokens
- Prompt caching write - $18.75 / MTok
- Prompt caching read- $1.50 / MTok
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FAQs
Claude Opus 4 is Anthropic’s top-tier AI model designed for advanced reasoning, coding, and long-running autonomous workflows.
Yes, it can perform multi-hour programming tasks including test generation, debugging, and CLI execution without human intervention.
Opus 4 achieves higher scores in SWE-bench and Terminal-bench, supports longer reasoning chains, and integrates tool usage for agentic capabilities.
Yes, it supports up to 200,000 tokens of context, enabling extended memory and deep workflow continuity.
Absolutely, Opus 4 powers advanced AI agents that can reason, execute tools, and manage full-stack codebases autonomously.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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