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.

Claude Opus 4.6 is the best model we've tested yet. Its reasoning and planning capabilities have been exceptional at powering our AI Teammates. It's also a fantastic coding model – its ability to navigate a large codebase and identify the right changes to make is state of the art.

Claude Opus 4.6 is the strongest model Anthropic has shipped. It takes complicated requests and actually follows through; breaking them into concrete steps, executing, and producing polished work even when the task is ambitious. For Notion users, it feels less like a tool and more like a capable collaborator.

Claude Opus 4.6 reasons through complex problems at a level we haven't seen before. It considers edge cases that other models miss and consistently lands on more elegant, well-considered solutions. We're particularly impressed with Opus 4.6 in Devin Review, where it's increased our bug catching rates.

Across 40 cybersecurity investigations, Claude Opus 4.6 produced the best results 38 of 40 times in blind ranking against Claude 4.5 models. Each model ran end-to-end on the same agentic harness with up to 9 subagents and 100+ tool calls.

Claude Opus 4.6 is the new frontier on long-running tasks from our internal benchmarks and testing. It's also been highly effective at reviewing code.

Claude Opus 4.6 achieved the highest BigLaw Bench score of any Claude model at 90.2%. With 40% perfect scores and 84% above 0.8, it's remarkably capable for legal reasoning.

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 knew when to escalate to a human.

Claude Opus 4.6 is an uplift in design quality. It works beautifully with our design systems and it's more autonomous, which is core to Lovable's values. People should be creating things that matter, not micromanaging AI.

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.

Claude Opus 4.6 is the biggest leap I've seen in months. 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.

Claude Opus 4.6 handled a multi-million-line codebase migration like a senior engineer. It planned upfront, adapted its strategy as it learned, and finished in half the time.

Global enterprise clients bring us their hardest problems. Claude Opus 4.6 sets a new bar: reasoning sustains at depth, it self-catches errors, and produces stronger outputs faster. Our 1,300 people can spend less time correcting and more time solving.

We only ship models in v0 when developers will genuinely feel the difference. Claude Opus 4.6 passed that bar with ease. Its frontier-level reasoning, especially with edge cases, helps v0 to deliver on our number one aim: to let anyone elevate their ideas from prototype to production.

Claude Opus 4.6 achieved 85% recall on our biopharma competitive intelligence benchmark—a 12-point lift over baseline (p<0.02; 100% Bayesian probability of improvement)—through autonomous 15-minute discovery loops with zero prompt tuning. On the hardest tasks, the improvement exceeded 30 points. For users who need to find every competitor, not just the obvious ones, this lift makes a critical difference.

Claude Opus 4.6 scores 69% on Terminal Bench 2 in Droid, a clear jump from Opus 4.5. For autonomous software engineering, that's a meaningful step forward.

Our hardest benchmark contains 200 analytical reasoning problems. Claude Opus 4.6 beat every model we've had in production. It's a clear candidate for production traffic.

Claude Opus 4.6 is the best orchestration model we've used for complex multi-agent work. It tracks how sub-agents are doing, proactively steers them, and terminates when needed. That kind of active management is new.

The performance jump with Claude Opus 4.6 feels almost unbelievable. Real-world tasks that were challenging for Opus suddenly became easy. This feels like a watershed moment for spreadsheet agents on Shortcut.

Claude Opus 4.6 is showing gains on solubility editing where previous models couldn't. It's the first improvement we've seen on one of the most challenging tasks in molecular design.

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.

Claude Opus 4.6 generates complex, interactive apps and prototypes in Figma Make with an impressive creative range. The model translates detailed designs and multi-layered tasks into code on the first try, making it a powerful starting point for teams to explore and build ideas.

"Early testing shows Claude Opus 4.6 delivering on the complex, multi-step coding work developers face every day—especially agentic workflows that demand planning and tool calling. This starts unlocking long horizon task at the frontier."

Claude Opus 4.6 just keeps working through problems without needing to be nudged. I ran it headlessly for much longer than any model we've used before. It's significantly more persistent and agentic.

Claude Opus 4.6 represents a meaningful leap in long-context performance. In our testing, we saw it handle much larger bodies of information with a level of consistency that strengthens how we design and deploy complex research workflows. Progress in this area gives us more powerful building blocks to deliver truly expert-grade systems professionals can trust.

Claude in Excel powered by Opus 4.6 represents a significant leap forward. From due diligence to financial modeling, it’s proving to be a remarkably powerful tool for our team - taking unstructured data and intelligently working with minimal prompting to meaningfully automate complex analysis. It’s an excellent example of AI augmenting investment professionals’ capabilities in tangible, time-saving ways.

As one of Canada’s largest institutional investors, we’re constantly innovating and see AI at the forefront of shaping our future. Claude Opus 4.6's enhanced speed, precision, and capacity for complex tasks, like multi-tab analysis in Claude for Excel, unlock exciting possibilities for how we work.”

Claude Opus 4.6 feels noticeably better than Opus 4.5 in Windsurf, especially on tasks that require careful exploration like debugging and understanding unfamiliar codebases. We've noticed Claude Opus 4.6 thinks longer, which pays off when deeper reasoning is needed.

Claude Opus 4.6 is now our default model. It outperforms other models on real workloads, especially data retrieval and tool use.

Opus 4.6 is the best Anthropic model we’ve tested. It understands intent with minimal prompting and went above and beyond, exploring & creating details I didn't even know I wanted until I saw them. It felt like I was working with the model, not waiting on it.

Claude Opus 4.6 excels in high-reasoning tasks, like multi-source analysis, across legal, financial, and technical content. Box’s eval showed a 10% lift in performance, reaching 68% vs. a 58% baseline, and near-perfect scores in technical domains.

Greptile pushes the frontier on long-horizon coding and reasoning tasks. Claude Opus 4.6 marks a large step forward in this space. We are excited to use it.

Anthropic already had the best coding model in the world and Opus 4.6 continues that trajectory. In our internal Auggie bench eval, this is the first time we've consistently seen the model’s coding output truly compare to expert human quality.

Claude Opus 4.6 delivers the depth and structure our users need on complex research queries. It gives thorough, evidence-backed responses that consistently outperform what we've seen from any other model.