Stronger deep reasoning
Claude Opus 4.6 is suited for complex planning, financial analysis, and research tasks that need multi-step thinking.
Claude Opus 4.6 — The Smartest AI Model
Anthropic's most capable model. Industry-leading in agentic coding, research, finance, and tool use — with a 1M token context window and adaptive thinking.
Terminal-Bench 2.0
#1
Humanity's Last Exam
#1
BrowseComp
#1
Context Window
1M tokens
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Capabilities
What Claude Opus 4.6 Can Do
Upgraded coding skills, deeper reasoning, and longer sustained agentic tasks — all in one model.
claude-opus-4-6
Agentic Coding
Plans more carefully, sustains tasks for longer, operates reliably in larger codebases, and catches its own mistakes with superior debugging skills.
Deep Research & Search
Outperforms all frontier models on BrowseComp for locating hard-to-find information. Leads on Humanity's Last Exam for complex multidisciplinary reasoning.
Finance & Knowledge Work
Outperforms GPT-5.2 by ~144 Elo points on GDPval-AA — an evaluation of economically valuable knowledge work in finance, legal, and other domains.
Benchmarks
Benchmark Performance
State-of-the-art results across agentic coding, reasoning, search, and finance evaluations.
Agentic Coding
#1
Terminal-Bench 2.0
Highest score on the agentic coding evaluation
Reasoning
#1
Humanity's Last Exam
Leads all frontier models on complex multidisciplinary reasoning
Search
#1
BrowseComp
Best at locating hard-to-find information online
Finance
+144 Elo
GDPval-AA
Outperforms GPT-5.2 by ~144 Elo points on knowledge work
Long Context
76%
MRCR v2 (1M)
8-needle 1M variant — vs Sonnet 4.5's 18.5%
Software Engineering
81.4%
SWE-bench Verified
Averaged over 25 trials on software engineering tasks
Key Features
Key Features of Claude Opus 4.6
A comprehensive set of capabilities designed for developers, researchers, and knowledge workers.
Adaptive Thinking
Claude decides when deeper reasoning is helpful. Adjust effort levels (low, medium, high, max) to optimize for intelligence, speed, or cost.
1M Token Context (Beta)
First Opus-class model with 1M token context. Holds and tracks information over hundreds of thousands of tokens with less drift.
Context Compaction
Automatically summarizes and replaces older context when conversations approach the threshold, letting Claude perform longer tasks.
128K Output Tokens
Supports outputs of up to 128K tokens, enabling Claude to complete larger-output tasks without breaking them into multiple requests.
Enhanced Safety
Most comprehensive safety evaluations ever run. Low misaligned behavior rates and lowest over-refusal rate of any recent Claude model.
Agent Teams
Spin up multiple agents that work in parallel and coordinate autonomously — best for independent, read-heavy work like codebase reviews.
Why Use
Why teams choose Claude Opus 4.6
Built for high-stakes work where quality, reliability, and deep reasoning matter more than raw speed.
More reliable agentic coding
It performs consistently in long coding sessions, code review, and tool-using workflows across large repositories.
1M context for long-horizon work
With extended context, teams can evaluate large codebases and long documents in one run with less context switching.
How to Use
How to use Claude Opus 4.6 effectively
Follow a simple execution pattern to improve output quality, latency predictability, and cost control.
Start with a scoped objective
Define task goal, constraints, and success criteria first, then provide only relevant context to reduce drift.
Use structured prompts for long tasks
Break requests into stages such as analysis, plan, and implementation so Opus can reason deeply with clearer checkpoints.
Validate with side-by-side comparisons
Benchmark Opus against alternatives on your real prompts and track quality, speed, and token cost before scaling.
Related models
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Gemini 3.1 Pro
Google's most advanced reasoning model with 77.1% ARC-AGI-2 & 1M context
Frequently Asked Questions
Have more questions? Contact our support team.
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