Claude Opus 4.6: Complete Guide to Anthropic's AI Model

The Dawn of "Vibe Working": Why Opus 4.6 Changes Everything

On February 5, 2026, Anthropic released Claude Opus 4.6, and the AI landscape shifted overnight. This is not a minor version bump. Despite the incremental numbering from Opus 4.5 (released just three months earlier in November 2025), Opus 4.6 represents a fundamental leap in what AI models can actually accomplish in real-world professional settings.

The numbers speak for themselves: a 83% improvement on the ARC AGI 2 reasoning benchmark, a 1 million token context window (a first for any Opus-class model), the ability to output up to 128,000 tokens in a single response, and benchmark dominance across coding, finance, legal reasoning, and enterprise knowledge work.

Scott White, Anthropic's Head of Product for Enterprise, captured the moment perfectly when he described the shift as entering a "vibe working" era, where AI moves beyond answering questions to genuinely collaborating on complex professional tasks alongside humans.

Real industry impact: "Claude Opus 4.6 handled a multi-million-line codebase migration like a senior engineer. It planned up front, adapted its strategy as it learned, and finished in half the time." — Gregor Stewart, Chief AI Officer, SentinelOne

This guide covers every aspect of Claude Opus 4.6, from technical specifications and benchmark performance to pricing, real-world applications, and what this release means for developers, enterprises, and the broader AI industry.

Understanding Claude Opus 4.6: What's New and Why It Matters

The Evolution from Opus 4.5 to 4.6

Claude Opus 4.5 was already considered the industry's best coding model when it launched in November 2025, setting new bars across multiple benchmarks and earning widespread adoption among developers and enterprises. Opus 4.6 builds on that foundation while expanding far beyond coding into a true general-purpose enterprise intelligence platform.

Key Evolution Points:

Opus 4.5 was primarily celebrated as a coding powerhouse. Opus 4.6 retains and improves those coding abilities while dramatically expanding into financial analysis, legal reasoning, document creation, research capabilities, and autonomous multi-agent workflows. As one Anthropic spokesperson described it, the model gets "much closer to production-ready quality on the first try" across documents, spreadsheets, and presentations that need less revision before they are ready to use.

The shift from Opus 4.5 to 4.6 also reflects Anthropic's broader strategic vision. While competitors like OpenAI lean heavily into consumer markets (with 800 million weekly ChatGPT users), Anthropic has doubled down on enterprise, where approximately 80% of its revenue originates from over 300,000 business customers. Opus 4.6 is the embodiment of that enterprise-first philosophy.

Core Technical Specifications

Understanding the technical foundation of Opus 4.6 helps explain why it performs so differently from its predecessors and competitors.

Model Identifier: claude-opus-4-6

Context Window: 1 million tokens (beta), a first for any Opus-class model. Previous Opus models were limited to 200K tokens, while competitors like Gemini 3 and Claude Sonnet 4.5 already offered similar context windows. This is significant because larger context windows have traditionally suffered from "context rot," where performance degrades as conversations grow longer. Anthropic claims to have substantially addressed this problem.

Maximum Output: 128,000 tokens per response, enabling the model to generate entire reports, comprehensive code files, or detailed analyses in a single pass without truncation.

Pricing: $5 per million input tokens and $25 per million output tokens (unchanged from Opus 4.5). For prompts exceeding 200,000 tokens, premium rates apply at $10 for input and $37.50 for output per million tokens. A 10% surcharge applies for US-only data processing.

Availability: claude.ai, Claude API, Amazon Bedrock, Google Cloud Vertex AI, and all major cloud platforms.

Industry context: Anthropic maintained the same pricing despite significant capability improvements, a strategic move that reinforces value for enterprise customers who were already paying identical rates for the less capable Opus 4.5.

Benchmark Performance: Where Opus 4.6 Dominates

Coding and Agentic Development

Coding has been Anthropic's traditional strength, and Opus 4.6 extends that lead across most evaluations.

Terminal-Bench 2.0 (Agentic Terminal Coding): Opus 4.6 scores 65.4%, up from 59.8% for Opus 4.5. This benchmark tests real-world agentic coding tasks in terminal environments, the kind of work developers actually do daily. Opus 4.6 now leads both GPT-5.2 and Gemini 3 Pro on this evaluation.

OSWorld (Agentic Computer Use): Score improved from 66.3% (Opus 4.5) to 72.7% (Opus 4.6), placing it ahead of all competitors for autonomous computer interaction tasks.

SWE-bench Verified: One notable exception to Opus 4.6's dominance. The model shows a small regression on SWE-bench Verified compared to Opus 4.5, along with the MCP Atlas benchmark for scaled tool usage. While somewhat unexpected given improvements elsewhere, Anthropic attributes this to the model's stronger performance on more complex, real-world coding scenarios that these particular benchmarks may not fully capture.

Developer perspective: "Claude Opus 4.6 stands out on harder problems. Stronger tenacity, better code review, and it stays on long-horizon tasks where others drop off." — Michael Truell, Co-founder and CEO, Cursor

Reasoning and Problem-Solving

The most dramatic improvements appear in reasoning benchmarks, where Opus 4.6 establishes a clear lead over all competitors.

ARC AGI 2 (Novel Problem Solving): This is the standout result. Opus 4.6 scores 68.8%, compared to Opus 4.5's 37.6%, Gemini 3 Pro's 45.1%, and GPT-5.2 Pro's 54.2%. That's an 83% improvement over its predecessor. ARC AGI 2 specifically tests problems that are easy for humans but extremely difficult for AI, making this score particularly significant for measuring progress toward more general intelligence capabilities.

Humanity's Last Exam (Complex Multidisciplinary Reasoning): Without tools, Opus 4.6 scores 40.0% (vs. Opus 4.5's 30.8%). With tools enabled, it reaches 53.1%, leading all frontier models including Gemini 3 Pro (45.8%) and GPT-5.2 Pro (50.0%).

These reasoning improvements translate directly into better performance on complex, multi-step professional tasks where the model needs to plan, evaluate, and adapt its approach across long workflows.

Enterprise Knowledge Work

Perhaps the most commercially significant benchmarks involve real-world enterprise tasks.

GDPval-AA (Economically Valuable Knowledge Work): Opus 4.6 achieves an Elo score of 1,606 points, leading GPT-5.2 by 144 points and its own predecessor by 190 points. This evaluation tests performance across finance, legal, and other professional domains on tasks that directly represent economic value.

Finance Agent Benchmark: Opus 4.6 holds the top position at 60.7% (a 5.47% improvement from Opus 4.5), evaluating how well AI agents perform core financial analyst tasks including SEC filing research and regulatory analysis.

TaxEval: State-of-the-art at 76.0%, testing tax-related reasoning and analysis capabilities.

BigLaw Bench (Legal Reasoning): Achieved a 90.2% score with 40% perfect scores and 84% above 0.8, as reported by Harvey's Head of AI Research.

Enterprise testimonial: "With Claude Opus 4.6, creating financial PowerPoints that used to take hours now takes minutes. We're seeing tangible improvements in attention to detail, spatial layout, and content structuring." — Aabhas Sharma, CTO, Hebbia

Long-Context Performance

The 1 million token context window would be meaningless if performance degraded significantly with longer inputs. Opus 4.6's long-context results suggest Anthropic has made genuine progress on the "context rot" problem.

MRCR v2 (8-needle, 1M variant): Opus 4.6 scores 76%, compared to Claude Sonnet 4.5's 18.5% on the same benchmark. This needle-in-a-haystack test measures a model's ability to find specific information hidden within vast amounts of text, and the difference is dramatic.

This capability matters enormously for enterprises dealing with large document sets, entire codebases, regulatory filing collections, or extensive research materials where finding specific buried details is critical.

Search and Information Retrieval

BrowseComp (Agentic Search): Opus 4.6 scores 84.0%, significantly ahead of Opus 4.5's 67.8%, GPT-5.2 Pro's 77.9%, and Gemini 3 Pro's 59.2%. This benchmark measures the ability to locate hard-to-find information online through multi-step search processes.

DeepSearchQA: Improved performance on extracting specific information from large, unstructured data sources. Users can provide dense document sets and receive focused, specific answers rather than generic summaries.

Major New Features Deep Dive

Agent Teams in Claude Code

Perhaps the most transformative feature for developers is the introduction of agent teams in Claude Code. Previously, Claude Code could only run one agent at a time, forcing sequential task completion. Agent teams change this fundamentally.

How Agent Teams Work: Instead of a single agent working through tasks one at a time, developers can now split work across multiple agents that each own a specific piece of the task. These agents coordinate directly with each other, working in parallel and autonomously managing their respective responsibilities.

Practical Applications:

For codebase reviews, multiple agents can simultaneously analyze different modules, security patterns, and documentation quality, then synthesize their findings into a unified review. For complex development projects, one agent might handle frontend components while another manages backend logic and a third handles testing, all coordinating their efforts in real time.

Real-world example: "Claude Opus 4.6 autonomously closed 13 issues and assigned 12 issues to the right team members in a single day, managing a ~50-person organization across 6 repositories. It handled both product and organizational decisions while synthesizing context across multiple domains, and it knew when to escalate to a human." — Yusuke Kaji, General Manager AI, Rakuten

Agent teams are currently available as a research preview for API users and subscription customers.

Adaptive Thinking

Previous Claude models offered a binary choice: enable or disable extended thinking. Opus 4.6 introduces adaptive thinking, a more nuanced approach where the model uses contextual clues to determine how much reasoning effort a particular prompt requires.

How It Works: Rather than applying maximum reasoning power to every request (which adds cost and latency), the model can now recognize when a simple question needs a quick answer versus when a complex analysis requires deep, multi-step reasoning. Developers still maintain explicit control through the /effort parameter, which now offers four levels: low, medium, high (default), and max.

Practical Impact: Anthropic notes that Opus 4.6 "often thinks more deeply and more carefully revisits its reasoning before settling on an answer," which produces better results on harder problems but can add unnecessary cost on simpler ones. For straightforward tasks, dialing effort down from "high" to "medium" is recommended.

Compaction for Extended Conversations

As conversations approach context window limits, a new compaction feature automatically summarizes older context, allowing the model to handle longer-running tasks without hitting limits. This is particularly valuable for extended coding sessions, multi-step research projects, and ongoing analytical workflows that might span hundreds of exchanges.

Claude in PowerPoint (Research Preview)

Opus 4.6 introduces direct integration with Microsoft PowerPoint, available in research preview for Max, Team, and Enterprise plan customers.

Capabilities: The integration goes beyond simple slide generation. Claude can read existing slide layouts, fonts, and templates, then generate or edit slides while preserving those design elements. In demos, Anthropic showed Opus 4.6 ingesting enterprise spreadsheets and producing detailed competitor analysis as complete PowerPoint decks containing the most pertinent information.

This represents a significant evolution from the previous workflow where users would tell Claude to create a presentation, then manually transfer the file to PowerPoint for editing. The new integration keeps everything within the PowerPoint environment with Claude available as an intelligent side panel.

Enhanced Claude in Excel

Claude in Excel receives substantial upgrades with Opus 4.6. The integration can now handle longer-running, more complex tasks and multi-level changes in a single pass. Excel users can process unstructured data, have Claude determine the correct structure, and execute comprehensive changes without multiple manual iterations.

Customer feedback: "The performance jump with Claude Opus 4.6 feels almost unbelievable. Real-world tasks that were challenging for Opus [4.5] suddenly became easy. This feels like a watershed moment for spreadsheet agents on Shortcut." — Nico Christie, Co-Founder and CTO, Shortcut AI

US Data Residency

For organizations with strict data sovereignty requirements, Opus 4.6 introduces the option to ensure all workloads run exclusively within the United States. This comes with a 10% price premium but addresses a significant compliance need for government contractors, financial institutions, and healthcare organizations subject to data residency regulations.

Real-World Performance and Industry Reception

Developer and Engineering Feedback

The reception from the developer community has been overwhelmingly positive, with several notable themes emerging from early access partners.

On Autonomy and Planning: "Claude Opus 4.6 is a huge leap for agentic planning. It breaks complex tasks into independent subtasks, runs tools and subagents in parallel, and identifies blockers with real precision." — Michele Catasta, President, Replit

On Code Quality: "Both hands-on testing and evals show Claude Opus 4.6 is a meaningful improvement for design systems and large codebases, use cases that drive enormous enterprise value. It also one-shotted a fully functional physics engine, handling a large multi-scope task in a single pass." — Eric Simons, CEO, Bolt.new

On Long-Horizon Tasks: "I'm more comfortable giving it a sequence of tasks across the stack and letting it run. It's smart enough to use subagents for the individual pieces." — Jerry Tsui, Staff Software Engineer, Ramp

Enterprise and Business Applications

Enterprise customers report that Opus 4.6 transforms how teams handle complex knowledge work.

Financial Services: The model can combine regulatory filings, market reports, and internal data to produce analyses that would traditionally take analysts days to complete. It now holds the top position on the Finance Agent benchmark and leads in tax evaluation capabilities, making it the strongest AI option for financial professionals.

Legal Industry: Thomson Reuters' CTO described the long-context improvements as enabling "more powerful building blocks to deliver truly expert-grade systems professionals can trust." Harvey reported the highest BigLaw Bench score of any Claude model at 90.2%.

Cybersecurity: Anthropic's frontier red team tested Opus 4.6's security capabilities before launch, discovering that the model found over 500 previously unknown zero-day vulnerabilities in open-source code using only its out-of-the-box capabilities. Each vulnerability was validated by Anthropic team members or external security researchers.

The discovered vulnerabilities included flaws in GhostScript (a popular PDF and PostScript processing utility), buffer overflow issues in OpenSC (smart card data processing), and problems in CGIF (GIF file processing).

"I wouldn't be surprised if this was one of — or the main way — in which open-source software moving forward was secured." — Logan Graham, Head of Anthropic's Frontier Red Team

Anthropic's Internal Experience

Anthropic's own engineering team has been using Claude Code with every new model, and their internal observations provide valuable insight.

Key Internal Findings: The model brings more focus to the most challenging parts of a task without being explicitly instructed to do so. It moves quickly through straightforward portions, handles ambiguous problems with better judgment, and stays productive over longer sessions. These are qualitative improvements that benchmarks alone may not fully capture but that significantly impact daily productivity.

How Opus 4.6 Compares to Competitors

Claude Opus 4.6 vs. GPT-5.2

The comparison between Opus 4.6 and OpenAI's GPT-5.2 reveals clear strengths for Anthropic's model across most enterprise-relevant benchmarks.

Where Opus 4.6 Leads: GDPval-AA knowledge work (1,606 vs. 1,462 Elo), BrowseComp agentic search (84.0% vs. 77.9%), Terminal-Bench 2.0 coding (65.4% vs. lower), ARC AGI 2 reasoning (68.8% vs. 54.2%), Humanity's Last Exam with tools (53.1% vs. 50.0%), and OSWorld computer use (72.7% vs. lower).

Where GPT-5.2 Leads: MCP Atlas scaled tool use (60.6% vs. 59.5%), representing one of the few benchmarks where OpenAI's model edges ahead.

Strategic Differences: OpenAI serves approximately 40% of its business from enterprise customers (with plans to grow to 50%), while Anthropic draws roughly 80% from enterprise. This different emphasis is reflected in how each company optimizes its models: Opus 4.6 is clearly tuned for professional workflows, document creation, and multi-step business tasks.

Claude Opus 4.6 vs. Gemini 3 Pro

Google's Gemini 3 Pro remains competitive but trails Opus 4.6 on most key metrics.

Where Opus 4.6 Leads: ARC AGI 2 (68.8% vs. 45.1%), BrowseComp (84.0% vs. 59.2%), Terminal-Bench 2.0, GDPval-AA, Humanity's Last Exam (both with and without tools), and Finance Agent.

Where Gemini 3 Pro Competes: Google's model has shown strong benchmark improvements in recent months, and the Gemini ecosystem benefits from deep integration with Google Workspace products. However, the raw capability gap on reasoning and enterprise tasks has widened with Opus 4.6's release.

Claude Opus 4.6 vs. Claude Sonnet 4.5

For users choosing between Anthropic's own models, the decision involves balancing capability against speed and cost.

Opus 4.6 Advantages: Dramatically better long-context performance (76% vs. 18.5% on MRCR v2), superior reasoning (68.8% vs. approximately 13.6% on ARC AGI 2), stronger enterprise knowledge work, and better agentic planning capabilities.

Sonnet 4.5 Advantages: Faster response times, lower pricing ($3/$15 per million tokens vs. $5/$25), and sufficient capability for most everyday tasks. Sonnet 4.5 remains the recommended choice for high-volume production workloads where speed matters more than maximum reasoning depth.

Decision Framework: Use Opus 4.6 for complex coding tasks, autonomous agents, large-document analysis, financial modeling, legal reasoning, and any task requiring deep multi-step planning. Use Sonnet 4.5 for customer-facing chatbots, routine coding assistance, content generation, and high-volume API workloads where cost efficiency is paramount.

Pricing and Access Details

API Pricing Structure

Standard Pricing (up to 200K tokens): Input: $5 per million tokens Output: $25 per million tokens

Extended Context Pricing (over 200K tokens): Input: $10 per million tokens Output: $37.50 per million tokens

US Data Residency Surcharge: Additional 10% on all token costs

API Model Identifier: claude-opus-4-6

Consumer and Business Plans

Opus 4.6 is available across all paid Claude plans through claude.ai. Anthropic has removed Opus-specific usage caps for users with access, and increased overall usage limits for Max and Team Premium users so they have roughly the same number of Opus tokens as previously available with Sonnet.

Plan Options: Free Plan: Limited access (Sonnet models primarily) Pro Plan: $20/month per user Team Plan: Custom pricing for organizations Enterprise Plan: Custom pricing with advanced security and compliance Max Plan: $100/month per user with highest usage limits and priority access

Value Comparison

The pricing remains unchanged from Opus 4.5 despite significant capability improvements. Compared to the previous generation Opus 4.1, which cost $15 input / $75 output per million tokens, the current pricing represents a 66% reduction that Anthropic introduced with Opus 4.5 and maintains with 4.6.

Safety and Alignment Profile

Evaluation Results

Anthropic published an extensive system card alongside the Opus 4.6 release, demonstrating what they describe as "an overall safety profile as good as, or better than, any other frontier model in the industry."

Key Safety Findings: The model matches Opus 4.5's performance on safety evaluations including deception, sycophancy, and encouraging user delusions. The safety team found low rates of misaligned behavior across their evaluation suite.

Cybersecurity Implications

While the model's ability to find 500+ zero-day vulnerabilities demonstrates powerful defensive capabilities, it also raises questions about potential offensive misuse. Anthropic addressed this by implementing new security controls including real-time detection tools that can block traffic suspected of being malicious.

The company acknowledged the tension this creates: "This will create friction for legitimate research and some defensive work, and we want to work with the security research community to find ways to address it as it arises."

Notable Omissions

Anthropic no longer reports results for direct prompt injections, where Opus 4.5 previously performed best among frontier models. The company explains this exclusion by noting that direct injections "involve a malicious user, whereas this section focuses on third-party threats that hijack the user's original intent." This means the model's vulnerability to deliberate adversarial prompting remains less transparent than in previous releases.

The "Vibe Working" Paradigm

What Vibe Working Means

Scott White's "vibe working" concept extends the "vibe coding" phenomenon that went viral during the 2025 winter holidays, when non-programmers discovered they could build functional software using Claude Code without traditional programming knowledge.

Vibe working takes this further: it is the idea that professionals across all domains, not just software engineers, can delegate complex multi-step work to AI and receive production-ready outputs. Product managers, financial analysts, legal professionals, and people from a variety of industries are now using Claude not as a question-answering tool but as a genuine work partner.

The Shift in Practice: Previously, working with AI meant crafting precise prompts and iterating through multiple rounds of refinement. Opus 4.6's improvements in planning, judgment, and autonomous task completion mean users can describe what they need at a higher level and trust the model to break tasks down, execute them, and deliver polished results.

Cowork Integration

Anthropic's Cowork platform (released in January 2026) is designed specifically for this vibe working paradigm. In Cowork, users give Claude access to a desktop folder, and the model can read, edit, and create files directly within that folder. For finance teams, this means kicking off several analyses simultaneously while steering Claude's thought process as it creates each deliverable.

The combination of Opus 4.6's improved capabilities with Cowork's autonomous workflow environment represents Anthropic's vision for how AI transforms professional work: not replacing humans, but enabling them to operate at dramatically higher levels of output and quality.

Anthropic's Broader Business Context

Growth Trajectory

The Opus 4.6 release arrives at a moment of extraordinary growth for Anthropic.

Revenue: The company's annual revenue run rate approaches $7 billion as of early 2026, with projections targeting $20-26 billion by year's end. Claude Code alone generates nearly $1 billion in annualized revenue.

Customer Base: Over 300,000 business and enterprise customers, up from under 1,000 just two years ago. Enterprise accounts represent approximately 80% of revenue, with the number of customers generating over $100,000 in annual run-rate revenue increasing sevenfold year-over-year.

Valuation: Anthropic is in late-stage negotiations for a funding round valuing the company at $350 billion, with reported investor interest of 5-6x the original $10 billion fundraising target.

Major Customers: Microsoft has become one of Anthropic's top customers, on track to spend approximately $500 million annually using Claude in Microsoft products. GitHub, Notion, Shopify, Figma, Rakuten, and numerous other major technology companies are active Claude enterprise customers.

Competitive Positioning

Anthropic's enterprise-first strategy differentiates it from OpenAI's more consumer-oriented approach. While OpenAI's ChatGPT has captured massive consumer mindshare with 800 million weekly users, Anthropic has built what CEO Dario Amodei describes as a "very synergistic" relationship between its safety-focused development philosophy and enterprise needs for reliable, trustworthy AI systems.

The Opus 4.6 release reinforces this positioning with features specifically designed for professional workflows: PowerPoint integration, enhanced Excel capabilities, agent teams for complex development projects, and industry-leading performance on financial and legal benchmarks.

Getting Started with Claude Opus 4.6

For Developers

API Access:

python

import anthropic

client = anthropic.Anthropic()

message = client.messages.create(
    model="claude-opus-4-6",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Your prompt here"}
    ]
)

Agent Teams (Research Preview): Available through Claude Code for parallel task execution. Documentation is available at code.claude.com/docs/en/agent-teams.

Effort Control: Use the /effort parameter to balance intelligence, speed, and cost. Set to "medium" for straightforward tasks and "high" or "max" for complex reasoning challenges.

Compaction: Enable compaction for long-running conversations to automatically manage context window usage. Documentation at platform.claude.com/docs/en/build-with-claude/compaction.

For Enterprise Teams

Immediate Actions: Evaluate Opus 4.6 through claude.ai with existing paid plans. Test Claude in PowerPoint (research preview for Max, Team, and Enterprise customers). Explore Cowork for autonomous multi-task workflows. Review the enhanced Claude in Excel for financial modeling and data analysis.

Integration Points: Available on Amazon Bedrock, Google Cloud Vertex AI, and through direct API access. US data residency options available for compliance-sensitive workloads.

For Individual Users

Getting Started: Access Opus 4.6 through claude.ai with any paid plan. The model is available as the default high-capability option alongside Sonnet 4.5 for faster, everyday tasks.

Best Practices: For complex work, provide comprehensive context and let the model plan its approach. For simple questions, consider using Sonnet 4.5 for faster responses. Take advantage of the expanded context window for document analysis by uploading large files directly.

What This Means for the AI Industry

The Enterprise AI Race Intensifies

Opus 4.6 raises the bar for what enterprise customers should expect from AI models. The combination of industry-leading reasoning, massive context windows, production-ready document creation, and autonomous agent capabilities sets a new standard that competitors will need to match.

Google's Gemini 3 Pro and OpenAI's GPT-5.2 remain formidable competitors, but Opus 4.6's clear advantages on enterprise-specific benchmarks suggest Anthropic's focused strategy is paying dividends. The question becomes whether competitors can close the gap before Anthropic's next release further extends the lead.

The Agent Future Accelerates

Agent teams represent a glimpse of AI's near future: not single models answering questions, but coordinated teams of AI agents managing complex workflows across multiple domains simultaneously. As these capabilities mature, the boundary between "AI assistant" and "AI colleague" continues to blur.

Safety Remains Central

Anthropic's simultaneous emphasis on capability and safety, including the extensive system card and security testing, positions the company uniquely in an industry where safety discussions often feel like afterthoughts. The discovery of 500+ zero-day vulnerabilities before launch demonstrates both the power and the responsibility that comes with frontier AI capabilities.

The Bottom Line

Claude Opus 4.6 is not just another model update. It represents a convergence of capabilities that makes AI genuinely useful for complex professional work at scale. The 1 million token context window eliminates previous limitations on document analysis. Agent teams unlock parallel autonomous work. Adaptive thinking optimizes the balance between intelligence and efficiency. And benchmark-leading performance across coding, reasoning, finance, and legal tasks validates these capabilities with measurable evidence.

For developers, Opus 4.6 is the most capable coding partner available. For enterprises, it is the strongest AI for knowledge work, financial analysis, and document creation. For the AI industry, it is a clear signal that the enterprise AI race is accelerating faster than anyone predicted.

Whether you are building AI-powered applications, deploying autonomous agents, or simply looking for a more capable AI assistant for daily professional work, Claude Opus 4.6 sets the new standard against which everything else will be measured.

The era of vibe working has officially begun.