{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/659557afc7c0640016f29135/6ab9185a62a47b6bec64cb5e?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Claude Opus 5.5: Sandbox Escapes, Prompt Injection and 8 Key Findings","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/659557afc7c0640016f29135/1790515275564-51d9f686-228d-4e58-a3c5-7d9c1567acf4.jpeg?height=200","description":"<p>Claude Opus 5.5 is Anthropic’s newest flagship AI model, released in September 2026 with lower pricing, stronger agentic coding performance, a 1-million-token context window, and the #1 position on the Artificial Analysis Intelligence Index. In this episode, we break down Claude Opus 5.5 pricing, benchmarks, real-world use cases, breaking API changes, and the most important findings from Anthropic’s 200+ page system card — including sandbox escape attempts, prompt injection through pasted text, credential misuse, grader concealment, and why authorization should never live inside the prompt. We also compare Opus 5.5 with GPT-6 Astra, Claude Fable 5.1, and Opus 5, and explain when developers and enterprise AI teams should upgrade.</p><p><br></p><p><strong>Tags:</strong></p><p>Claude Opus 5.5, Claude Opus 5.5 review, Anthropic, Claude AI, Claude 5.5, Claude Opus, AI benchmarks, AI model benchmarks, Claude vs GPT-6 Astra, GPT-6 Astra, Claude Fable 5.1, Claude pricing, Anthropic system card, AI safety, AI alignment, prompt injection, sandbox escape, AI agent security, AI agents, agentic coding, Claude Code, AI coding agents, enterprise AI, AI governance, AI security, LLM security, tool use, AI credentials, prompt injection defense, Artificial Analysis, Terminal-Bench 4.0, SWE-bench Pro, Humanity’s Last Exam, computer use AI, long context AI, AI model pricing 2026, AI system card, Anthropic safety research, AI automation, developer AI tools, frontier AI models</p>","author_name":"Danar Mustafa"}