Adding more details as they come: —Both models are hybrid models
—Opus 4 is great at understanding codebases and “the right choice” for agentic workflows
—Sonnet 4 excels at everyday tasks, and is your “daily go to”
AGENTS
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Opus 4 vs Sonnet 4: Hybrid models comparison details
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Claude 4 Alternates Between Thinking and Tool Calls
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Claude 4 is able to alternate between thinking and tool calls as well, in both claude dot ai and the API. We’ve seen this greatly improve Claude’s performance and tool calling ability.
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Opus 4 Redefines AI Agent Capabilities in Production Environments
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Opus 4 also excels at agentic tasks. Combined with our advances in memory training and context handling, it will redefine what AI agents can actually accomplish in production.
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Anthropic Unveils Claude 4 Opus and Sonnet with 7-Hour Autonomous Coding
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It’s happening Anthropic just announced Claude 4 Opus and Claude 4 Sonnet just now at the Code with Claude event Early testers said it could code autonomously for up to seven hours
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Claude 4 Extended Focus: Full Day Workflow Demonstration
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But it's not just coding.
— Anthropic (@AnthropicAI) 22 mai 2025
Claude 4 models operate with sustained focus and full context via deep integrations.
Watch our team work through a full day with Claude, conducting extended research, prototyping applications, and orchestrating complex project plans. pic.twitter.com/4kPpDiKf2aBut it's not just coding. Claude 4 models operate with sustained focus and full context via deep integrations. Watch our team work through a full day with Claude, conducting extended research, prototyping applications, and orchestrating complex project plans.
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Claude Opus 4 Advances Coding and AI Agent Capabilities
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Both Claude 4 models are state-of-the-art on SWE-bench Verified, which measures how models solve real software issues. As the best coding model, Claude Opus 4 can work continuously for hours on complex, long-running tasks—significantly expanding what AI agents can do.
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LangGraph Platform: Solving Agent Deployment Challenges
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Why agent deployment is hard, and how we built LangGraph Platform to solve it A more in-depth technical look at why & how we built LangGraph Platform, a deployment platform for long running, stateful, or busty agents (or all 3!) https://
blog.langchain.dev/why-langgraph-
platform/
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Codex AI Automates Code Push Workflow Between Replit GitHub
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Yeah, I’m doing that by pushing from Replit to GitHub, having Codex look at and push code there, merge in GitHub and pull that into Replit
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NVIDIA Cosmos Wins Best Choice and Golden Award at COMPUTEX2025
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We're thrilled to announce that #NVIDIACosmos has won both the Best Choice of the Year & the Golden Award at #COMPUTEX2025. Read how Cosmos is built to accelerate synthetic data generation and push the boundaries of #PhysicalAI for autonomous machines.
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Toxic Trait: Believing Everything Should Be LLM Plus Tools
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my toxic trait: thinking everything should be just llm+tools