#Opus 46 Context Window

Claude Opus 4.6 supports a 200K context window #claude

Claude opus 4.6 is so crazy this model features a 1 million-token context window, improved scientific reasoning, and introduces "agent teams" for enhanced collaboration and coding Just did the task in 10 mins which usually takes 2+ hours as SDE and damn perfect, Now I feel my job is in danger 🥲😪😎😂🤣 #claude #softwaresanyasi #sanyasi #animuthyam #softwaredeveloper

OpenRouter just quietly dropped a model called Pony Alpha. And nobody knows who made it. Here's why that matters to you. It's completely free. Zero dollars per million tokens. 200K context window. 131K max output tokens. People are testing it and saying it performs at Opus 4.6 level. That's frontier-class AI. For free. The speculation? This is GLM-5 in disguise. Zhipu said GLM-5 would drop around Chinese New Year. The timing lines up perfectly. Jailbreak tests are leaking GLM traces. The output style matches. Coding and agentic capabilities are way stronger than GLM-4. A frontier model dropped out of nowhere. Free. Anonymous. Go test it before they flip the switch. Follow if you're building with AI.

OpenAI and Anthropic just dropped their biggest coding models 30 minutes apart. GPT Codex 5.3 → 25% faster, available everywhere, 77% on Terminal-Bench. Claude Opus 4.6 → 1M token context window, agent teams that work in parallel, better self-correction. One wins on speed. The other wins on complexity. The real cheat code? Use both. Comment “code” and I’ll send you the full breakdown of when to use each one. 👇 #AITools #ClaudeCode #GPTCodex

Anthropic just dropped Opus 4.6 — and this is a serious leap forward 🚀 • Sustains long, complex agent tasks without losing coherence • Navigates massive codebases and multi-step analyses • 1 million token context window • Huge reduction in “context rot” • Massive jump in long-context retrieval performance They also introduced: • Agent Teams in Claude Code (parallel autonomous agents) • Context Compression to keep long-running tasks efficient It’s leading on major reasoning, coding, and retrieval benchmarks — and even outperforming GPT-5.2 on real-world knowledge work. The frontier model race is accelerating fast. Follow and subscribe if you want to stay ahead of every major AI update 🔥

❌Claude Opus 4.6 will 2x your API bill unless you know these 6 things! 1️⃣→ 1M token context window. 4.5 had 200K. That’s 5x bigger — you can fit entire codebases in a single prompt now. 2️⃣→ Price doubles after 200K tokens. Under 200K? Same price as 4.5 ($5 in / $25 out). Go over? $10 in / $37.50 out per million. The trick? Solve your task in one session, then move on. Context resets, bill stays low. 3️⃣→ Adaptive thinking replaces extended thinking. 4.5 was on or off — that’s it. Now there’s 4 levels: low, medium, high, max. Claude decides how hard to think. Simple question? Instant. Hard problem? Takes its time. Faster AND smarter. 4️⃣→ 128K output tokens. 4.5 maxed out at 64K. Double the output. No more getting cut off mid-answer. 5️⃣→ Agent teams in Claude Code :fire: 4.5 was one agent, one task. Now you can spin up parallel sub-agents working on different parts of your project at the same time. 6️⃣→ It dropped at the EXACT same time as OpenAI’s Codex 5.3. Within 15 minutes of each other. Not a coincidence. Both companies watching each other’s every move. The AI war is officially on. ❓Got an OpenClaw AI bot? (Clawdbot) Comment ‘OPUS’ below & I’ll send you a guide on how to get it running Opus 4.6 before anyone else! (It’s not even released yet!!!) 👇🏽👇🏽👇🏽 . . . #ClaudeOpus #Opus46 #AI #Coding #Anthropic OpenAI Cursor ClaudeCode WebDev Developer Programming Tech

Developing Website with Opus 4.6, 1M Context Window! Can it replace software developers?

Comment “AI Agent” for Access to My Claude Code Templates This isn’t a small update. This is a shift in power. Claude just unlocked a 1 million token context window. That means entire codebases, businesses, and strategies in one brain. The real threat isn’t tokens though. It’s agent teams. Instead of one AI doing everything, you get specialized agents working together on massive tasks. One plans. One executes. One checks. One optimizes. That’s how real work gets done. And that’s why this matters. If AI can think longer and work as a team, the game changes fast. The question isn’t who has the best chatbot. It’s who builds the best agents. #aiagents #anthropic #claudecode #chatgpt #opus

@claudeai opus 4.6 launches with 1m token context window

Anthropic just announced Opus 4.6 — their most advanced AI model yet. The real breakthrough isn’t just better answers. It can sustain long-running agentic tasks without losing coherence. We’re talking: • 1 million token context window • Massive codebase navigation • Multi-step financial analysis • Self-debugging agents • Parallel AI agent teams On retrieval benchmarks across a million tokens, Opus 4.6 jumped from 18.5% to 76% accuracy — a massive leap in usable long-context reasoning. It’s also leading on Terminal Bench 2.0, Humanity’s Last Exam, and complex real-world knowledge work tasks. The frontier model race is moving fast. What do you think — is Claude catching up to GPT?

Anthropic just dropped Claude Opus 4.6, and the dev world is shaking. We aren’t just talking about better chat responses anymore. We’re talking: • The C Compiler Test: It built a functional C compiler from scratch. 🛠️ • 1 Million Context Window: It can “read” your entire codebase while you’re still fetching your first coffee. • The 6-Month Timer: Anthropic’s CEO and Sridhar Vembu are both saying the same thing: Software engineering as we know it has a 6 to 12-month expiration date. ⏳ If your value is just writing lines of code, the clock is ticking. It’s time to stop being a “coder” and start being an AI Architect. Adapt or evaporate. 🚀 Follow @learnwithsdn for the survival guide in the AI era. #ai #softwaredeveloper #google #chatgpt #claude

Claude Opus 4.6 is not “just another bump.” 1M context + agent teams changes how AI ships work. #ssktechy #Claude #Anthropic #AIAgents #Coding