Claude 4.6
AIClaude 4.6 (Opus & Sonnet) is Anthropic’s multimodal, long-context family of models optimized for coding, agentic workflows, and extended reasoning.
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Claude 4.6
AI
Claude 4.6 (Opus & Sonnet) is Anthropic’s multimodal, long-context family of models optimized for coding, agentic workflows, and extended reasoning.
-(0 Reviews)
Free Available
Starting from Free
Premium plans available
About Claude 4.6
Claude 4.6 is a family of models (Opus 4.6 and Sonnet 4.6) that upgrades coding, long-context reasoning, agent planning, and knowledge-work capabilities. Key advances include adaptive and extended thinking modes, server-side context compaction (beta) to summarize older context, and support for very large context windows (Opus: 1M-token beta; Sonnet: large-context upgrades). The release also makes tool use (web search/fetch), code execution, memory, programmatic tool calling, and fine-grained tool streaming generally available on the API. Opus 4.6 supports extremely large single-request outputs (up to 128k tokens) and premium long-context pricing for requests exceeding 200k input tokens, making it suitable for multi-document analysis, agentic workflows, and enterprise integrations (Excel, PowerPoint, MCP connectors).
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Key Features
Context Compaction: Server-side automatic summarization of older conversation context (beta) to extend effective context length and reduce token use for long-running chats and agent tasks.
1M-Token Context (Beta): Opus 4.6 supports a 1,000,000 token context window in beta, enabling single-request processing of very large inputs like full codebases or many research papers.
Adaptive & Extended Thinking: Introduces adaptive thinking and the new 'effort' parameter (replacing budget_tokens) to let the model dynamically allocate reasoning depth based on task complexity.
Tooling & Code Execution: Web search/fetch tools can auto-generate and run filtering code to keep only relevant results; code execution, programmatic tool calling, tool search, and fine-grained tool streaming are generally available.
Large Output Support: Opus 4.6 can produce outputs up to 128k tokens in a single response, reducing the need to split large-generation tasks across multiple requests.
MCP & Office Integrations: Claude in Excel add-in and Claude in PowerPoint (research preview) integrations support MCP connectors to pull data from enterprise sources (S&P, LSEG, PitchBook, Moody’s, FactSet) directly into workflows.
Data Residency & Inference Controls: Developer Platform supports inference_geo for specifying where inference runs (US-only option available at a pricing multiple) and other platform controls for enterprise deployments.
1M token context window (beta) for processing very large inputs like entire codebases or many research papers in one request
Context compaction (beta): server‑side summarization that replaces older context to increase effective conversation length
Adaptive thinking: new effort parameter to control thinking depth; replaces budget_tokens (extended thinking still supported but deprecated)
Large outputs: Opus 4.6 supports up to 128k output tokens
Code and tooling: built‑in code execution examples, programmatic tool calling, tool search and tool use examples generally available
Fine‑grained tool streaming and structured output configuration (output_config.format) for streaming/structured responses
API and platform features: compaction API (beta), data residency via inference_geo, and updated console/docs at platform.claude.com
Integrations: available via claude.ai, Claude Code, Claude Cowork, Claude in Excel (add‑in), PowerPoint research preview, and major cloud platforms
Operational/developer controls: deprecation notes (manual thinking with budget_tokens), inability to prefill assistant messages on Opus 4.6
Pricing tiers with long‑context premium pricing for requests exceeding 200k input tokens
Use Cases
Processing entire codebases or corpora: Use the 1M-token context (beta) to analyze, refactor, or document an entire codebase or many research papers in a single API request.
Building long-running enterprise agents: Create agentic workflows that maintain and compact multi-session context, call external tools, execute code, and manage memory for multi-step automation.
Large-report and book generation: Produce single-request long-form outputs (up to 128k tokens) for reports, whitepapers, or books without stitching multiple responses.
Augmenting spreadsheets and presentations: Pull contextual data into Excel or PowerPoint via MCP connectors so Claude can enrich, analyze, and transform enterprise financial and research data in-place.
Tool-enabled web research: Use the web search/fetch tools that programmatically filter and process search results to keep only relevant content in context and improve token efficiency.
Code generation, debugging, and security analysis: Leverage improved coding capabilities and code-execution tools to generate, test, and help patch vulnerabilities in software projects.
Analyzing and refactoring entire codebases in a single request (developer tooling and code review)
Running enterprise agents that coordinate multi‑step workflows and call external tools
Research workflows that ingest dozens of papers or large datasets into one context for summarization and synthesis
Large document generation and export workflows that require very large outputs (reports, books, long code patches)
Spreadsheet augmentation via Claude in Excel (fetching external data via MCP connectors) and in‑app productivity features
Security and cybersecurity workflows (vulnerability discovery/patch suggestions) and other professional knowledge work
Multi‑agent/team coordination using programmatic task and messaging tools
