March 8, 2026Model ReleaseSource: Anthropic Blog

Anthropic Releases Claude Opus 4.6 with Extended Thinking

Anthropic has released Claude Opus 4.6 featuring extended thinking mode that allows the model to reason through complex problems step by step before responding. The model achieves 96.2% on GPQA Diamond.

Anthropic has launched Claude Opus 4.6, a significant update to its most capable model that introduces extended thinking — a feature allowing Claude to engage in visible, multi-step reasoning before producing a final answer. The model achieves 96.2% on GPQA Diamond and 95.8% on MATH, setting new benchmarks for analytical reasoning.

Extended thinking works by allowing Claude to allocate additional compute to complex problems, reasoning through multiple approaches and self-correcting before delivering a response. Users can observe the thinking process in real time, providing transparency into how the model arrives at its conclusions.

The feature is particularly impactful for scientific analysis, mathematical proofs, and complex coding tasks. In internal evaluations, extended thinking improved performance on PhD-level science questions by 23% compared to the standard response mode, with the largest gains on problems requiring multi-step logical reasoning.

Claude Opus 4.6 also introduces improvements to instruction following, reducing cases where the model deviates from complex system prompts by 40%. The model shows improved calibration, meaning its expressed confidence levels more accurately reflect the actual probability of correctness.

The model is available through the Anthropic API and Claude.ai, with extended thinking accessible on the Pro plan. API pricing is set at $15 per million input tokens and $75 per million output tokens, with thinking tokens billed at a reduced rate of $10 per million.

Related Tools

More News

March 13, 2026Product Update

NVIDIA Launches NIM Microservices for Enterprise AI Deployment

NVIDIA has launched NIM (NVIDIA Inference Microservices), a suite of containerized AI model serving packages that reduce enterprise AI deployment time from weeks to hours with optimized inference performance.

March 13, 2026Industry

AI Agents Market Reaches $15 Billion as Enterprise Adoption Surges

The global market for AI agents — autonomous AI systems that can plan, execute, and iterate on complex multi-step tasks — has reached $15 billion in annual spending, according to a new report from McKinsey. This represents a 200% increase from 2025, driven by enterprise adoption of agentic AI for customer service, software development, data analysis, and business process automation. The report identifies three tiers of AI agent adoption: basic agents that handle single-step tasks like email responses and appointment scheduling (adopted by 65% of enterprises), intermediate agents that manage multi-step workflows like report generation and data pipeline management (35% adoption), and advanced agents that autonomously execute complex processes like code deployment and financial analysis (8% adoption). The largest spending categories are customer service agents ($4.2B), coding agents ($3.8B), and data analysis agents ($2.5B). McKinsey projects the market will reach $45 billion by 2028 as agent reliability improves and enterprises become more comfortable delegating complex decisions to AI. Key enabling platforms include OpenAI's Agents SDK, Anthropic's Claude computer-use capabilities, and LangChain's agent framework. The report warns that agent governance and monitoring remain underdeveloped, with most enterprises lacking adequate oversight mechanisms for autonomous AI actions.

March 12, 2026Product Update

Microsoft 365 Copilot Gets Custom AI Agents and Actions

Microsoft has updated 365 Copilot with custom AI agent creation, allowing organizations to build agents that automate complex workflows spanning Word, Excel, Outlook, Teams, and SharePoint without code.

March 12, 2026Analysis

GPT-5.2's Agentic Mode Transforms Enterprise Workflows

OpenAI's GPT-5.2 introduced a fundamentally new approach to agentic task completion that is already transforming enterprise workflows. The model can now maintain coherent plans across 50+ sequential tool calls with parallel execution, reducing latency in complex automation pipelines by up to 60%. Early enterprise adopters report that GPT-5.2's agentic mode handles tasks like multi-step data analysis, cross-platform content publishing, and automated code review workflows that previously required custom orchestration code. The key innovation is what OpenAI calls deliberative alignment — a training approach that lets the model dynamically allocate compute to harder sub-tasks while breezing through simpler ones. This means a single agentic session can handle both quick lookups and deep reasoning without manual configuration. Several Fortune 500 companies have reported 40-70% time savings on analyst workflows by deploying GPT-5.2 agents through the API. However, reliability remains a concern — OpenAI acknowledges a 3-5% failure rate on chains exceeding 30 steps, and enterprise deployments require human-in-the-loop checkpoints for critical decisions.