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And don't let the "4.6" fool you -- this was far from just another incremental upgrade. |
Packed with so many brand new features -- to keep transforming Claude into a more reliable partner for the most complex tasks. |
From 200K context window in Claude Opus 4.5 → 1 million in Opus 4.6. |
Much longer output lengths... |
A breakthrough collaborative mode between several agents... |
New Adaptive Thinking... |
It's not just about focusing on smarter answers or better benchmarks this time -- Opus 4.6 is designed around long, multi-step tasks -- that usually require planning, context, and consistency across a lot of information. |
Large coding projects, research-heavy reports, and business workflows where details matter and mistakes compound quickly. |
Opus 4.6 takes the lead in all frontier models on Humanity's Last Exam, attained the highest score on Terminal-Bench 2.0 for agentic coding, and outperformed OpenAI's GPT-5.2 by 144 Elo points on GDPval-AA (real-world knowledge work tasks). |
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Bigger is better... |
The new massive 1 million token context window lets Claude Opus 4.6 read and keep track of enormous amounts of information at once. |
Entire codebases, long document collections, or messy project notes can stay in scope without the model forgetting earlier details. |
This makes it much less likely to lose track of critical context during conversation and thinking that compromise its accuracy. |
Longer outputs for real work |
Anthropic also doubled the maximum output length to 128K tokens. |
Claude Opus 4.6 now has more room to produce full drafts, long analyses, or large blocks of code without constantly stopping midway. |
And this removes a major annoyance for developers and teams — breaking tasks into smaller chunks just to fit output limits. It's another signal that Anthropic wants Opus to handle full workflows rather than isolated prompts. |
Smarter effort, less micromanaging |
❌ Reasoning budget |
✅ Reasoning effort |
Claude has started following the Gemini approach now, with Opus 4.6. |
Earlier versions allowed developers to set strict reasoning budgets -- but Opus 4.6 instead uses a more adaptive approach -- you guide how much effort the model should spend and let it decide how to allocate that internally. |
Making interactions feel less like tuning a machine and more like assigning a task to a capable assistant: explain the goal, set expectations, and let it figure out how much thinking is required. |
New Agent Teams |
Definitely one of the most notable additions. |
With this we can finally… |
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