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Model details

Claude Opus 4.6

Claude Opus 4.6 is Anthropic's flagship reasoning model built for complex, multi-step problem solving where accuracy outweighs the need for speed. Designed to sustain agentic workflows over longer horizons, it combines vision, function calling, and structured output capabilities to handle nuanced tasks ranging from coding and financial analysis to research and document creation. The model can review its own debugging output and catch mistakes—a feature that matters especially in large codebases where reliability compounds across files.

The model leads all frontier models on Humanity's Last Exam, a complex multidisciplinary reasoning test, and achieves the highest score on Terminal-Bench 2.0, the agentic coding evaluation. On GDPval-AA—an evaluation of economically valuable knowledge work in finance, legal, and related domains—Opus 4.6 outperforms OpenAI's GPT-5.2 by roughly 144 Elo points and its own predecessor by 190 points. It also outperforms every other model on BrowseComp, which tests a model's ability to locate hard-to-find information. These benchmark results position Opus 4.6 as a strong choice for knowledge-intensive work that demands sustained accuracy across long contexts.

Vertexclaude-opus-4-6@defaultclaude-opus

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Provider
Vertex
Model key
claude-opus-4-6@default
Release date
Feb 5, 2026
Last updated
Mar 13, 2026
Knowledge cutoff
2025-05-31
AI SDK package
@ai-sdk/google-vertex/anthropic
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$5.00
Output token cost
$25.00

Limits

Output tokens
128,000 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Claude Opus 4.6

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CoverageBenchmark

Emergent Mind's analysis, updated March 12, 2026, characterizes Claude Opus 4.6 as a frontier LLM evaluated for enterprise and security applications. It presents Corecraft benchmark task pass rates within the EnterpriseGym multi-entity simulation: Claude Opus 4.6 (Standard) at 22.10% and Claude Opus 4.6 (Adaptive) at 2 The page notes that Claude Opus 4.6 demonstrates advanced reasoning and tool-use capabilities but is constrained by complex multi-step demands in novel enterprise and security workflows. Notable failure modes include poor search strategies, incomplete tool exploration, and challenges in multi-step planning under comple

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