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claude / pricing
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Showing 5026–5050 of 5105 mentions
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🚀 Cline desktop-v0.0.37 is out Settings has a new About page. It shows your version and channel, has Check for updates and Restart to update buttons, and lists the release notes… ⭐ 69,356 stars All open-source AI releases →https://olud.ai/releases.html #OpenSource #Release #DevTools #AI 🚀 Cline desktop-v0.0.37 is out Settings has a new About page. It shows your version and channel, has Check for updates and Restart to update buttons, and lists the release notes… ⭐ 69,356 stars All open-source AI releases →https://olud.ai/releases.html #OpenSource #Release #DevTools #AIview source ↗
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Good morning ☕️☕️☕️. On this Saturday a.m., I have two totally unrelated songs in my head - Walking After Midnight 🎶🎶🎶 by Patsy Cline; and Day-O (The Banana Boat Song) 🎶🎶🎶 by Harry Belafonte #EarWorm Good morning ☕️☕️☕️. On this Saturday a.m., I have two totally unrelated songs in my head - Walking After Midnight 🎶🎶🎶 by Patsy Cline; and Day-O (The Banana Boat Song) 🎶🎶🎶 by Harry Belafonte #EarWormview source ↗
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Quill made me actually enjoy taking notes again. Fast, beautiful, no bloat. Best purchase this year. Quill made me actually enjoy taking notes again. Fast, beautiful, no bloat. Best purchase this year.view source ↗
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@cline Pixel Canary (stealth model) has just released and is free in Cline. It's tied with GPT-6 Astra and beats Kimi K3 on Next.js Agent Evals, a benchmark for real Next.js tasks for web and mobile development. https://x.com/i/web/status/2103636639038026093 @cline Pixel Canary (stealth model) has just released and is free in Cline. It's tied with GPT-6 Astra and beats Kimi K3 on Next.js Agent Evals, a benchmark for real Next.js tasks for web and mobile development. https://x.com/i/web/status/2103636639038026093view source ↗
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i think very soon llm outputs cannot be simply graded by human readings - right now we judge model outputs by checking things like 1) oh this is more concise 2) oh this made the whole point more relevant 3) oh this is better for documentation, rather than, "what is actually correct, in-depth and future proof". of cour… i think very soon llm outputs cannot be simply graded by human readings - right now we judge model outputs by checking things like 1) oh this is more concise 2) oh this made the whole point more relevant 3) oh this is better for documentation, rather than, "what is actually correct, in-depth and future proof". of course, each task's purpose is also different, so being a good judge at all subjects is also very difficult. right now the biggest difference i see of opus 5 vs 5.5 is decision making, 5 is indecisive leading to many self-contraditions, where 5.5 makes sure to check corners and decide on a most-probably-correct outcomeview source ↗
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For the decompilation crowd, I finished decompiling Wave Race 64 a couple of weeks ago. My repo was turned over to the team in charge of the official repo and there will be an announcement in the future once it's release worthy. Switching efforts to SSX 3 (GameCube). Might make this one public. It's at 21% already aft… For the decompilation crowd, I finished decompiling Wave Race 64 a couple of weeks ago. My repo was turned over to the team in charge of the official repo and there will be an announcement in the future once it's release worthy. Switching efforts to SSX 3 (GameCube). Might make this one public. It's at 21% already after a few days. Opus 5.5, GPT-6-Astra, and Fable 5.1 are getting a workout. * Don't ask for the Wave Race 64 repo. I respect the team that's working on it and will let them finish that project.view source ↗
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•https://t.co/YDUW7toWed’s sitemap leaked Kimi K4 as Moonshot AI’s next major model, alongside GLM-5.5 Flash and DeepSeek V4.1 Pro, ahead of any official announcement. •The Kimi K4 data page is still live on https://t.co/gRNQEKKXeO with 0 tokens and unknown specs, sitting like a placeholder waiting for launch day. •Aft… •https://t.co/YDUW7toWed’s sitemap leaked Kimi K4 as Moonshot AI’s next major model, alongside GLM-5.5 Flash and DeepSeek V4.1 Pro, ahead of any official announcement. •The Kimi K4 data page is still live on https://t.co/gRNQEKKXeO with 0 tokens and unknown specs, sitting like a placeholder waiting for launch day. •After heavy hype around Opus 5.5 and Jev AI, the leak has now put Kimi K4 in the spotlight.view source ↗
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Quill's writing experience is genuinely delightful. Typography and speed are top notch. Quill's writing experience is genuinely delightful. Typography and speed are top notch.view source ↗
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I don’t know why Sonnet 5 is currently the default model in claude - if in their own docs they advise keeping the default on Opus 5.5. And just look at the price/intelligence. Even in the documentation they recommend: > For most agent workloads, start with Claude Opus 5.5 at its default effort (medium). https://t.co/2… I don’t know why Sonnet 5 is currently the default model in claude - if in their own docs they advise keeping the default on Opus 5.5. And just look at the price/intelligence. Even in the documentation they recommend: > For most agent workloads, start with Claude Opus 5.5 at its default effort (medium). https://t.co/2QHzcfBKMT So I see the point of switching so that you don’t throw money away. #claude #opus5.5 #anthropic #claudecode #opus #sonet5 #claudeaiview source ↗
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No major model releases over the last day. Apparently the big tech vendors used all available compute preparing talking points for the Xi state dinner. And what a cluster it was. Elon Musk, Jensen Huang, Lisa Su, Sam Altman, Mark Zuckerberg, Sundar Pichai, Satya Nadella, Tim Cook and Jeff Bezos all checked present for… No major model releases over the last day. Apparently the big tech vendors used all available compute preparing talking points for the Xi state dinner. And what a cluster it was. Elon Musk, Jensen Huang, Lisa Su, Sam Altman, Mark Zuckerberg, Sundar Pichai, Satya Nadella, Tim Cook and Jeff Bezos all checked present for the White House orbit last night. Musk, Huang, Su and Cook were seated at the head table with Trump and Xi. However, no corporate CEOs from China. Anthropic was also absent, and didn't even make the kiddies table. You can guess why. Did they say anything substantive afterward? Mostly, no. Dinner coverage was overwhelmingly handshakes, seating charts and sea bass. Bilateral talks did include AI, and Xi publicly calling for continuing U.S.-China dialogue on AI risks and benefits, preventing misuse and keeping AI under human control. Musk was the exception, but made his interesting comments before the hors d'oeuvres rather than over dessert. In an interview aired by Chinese state media, Musk called Chinese AI models “generally outstanding”. He went on, saying Chinese may be the best work in the world on performance per unit of compute. He estimated China could overcome its lithography and chip-manufacturing constraint in roughly two to three years, mark those as Musk years. cough, cough. Moving on, the latest OpenAI rumor is ChatGPT Pro Max. Tibor Blaho found PROMAX / chatgptpromax references in ChatGPT’s front-end code. The unreleased plan is showing around $500/month, with the key description “Fastest Work and Codex.” A $600 figure in one screenshot appears to include VAT. Which then led to speculation that Cerebras inference could be involved. Reddit immediately reached the obvious conclusion: if OpenAI wants five hundred bucks a month, somebody had better put something considerably more interesting than slightly faster Sol behind the velvet rope. They were more distracted by picking up a useful piece of evidence. which is no longer one Azurview source ↗
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I went through Anthropic’s official Opus 5.5 + Claude Code guidance and turned it into a practical guide covering prompting, CLAUDE.md, context, subagents, effort levels, verification, and better workflows. Full article below ↓ https://t.co/LzA4svKzA8 I went through Anthropic’s official Opus 5.5 + Claude Code guidance and turned it into a practical guide covering prompting, CLAUDE.md, context, subagents, effort levels, verification, and better workflows. Full article below ↓ https://t.co/LzA4svKzA8view source ↗
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Hidden Claude Capability 3 (that ChatGPT users miss): The communication quality that reads as human instead of AI. He told them about the quality dimension that no benchmark measures and that the ChatGPT user noticed immediately but attributed to the wrong cause. The ChatGPT user said Claude's writing was "impressive… Hidden Claude Capability 3 (that ChatGPT users miss): The communication quality that reads as human instead of AI. He told them about the quality dimension that no benchmark measures and that the ChatGPT user noticed immediately but attributed to the wrong cause. The ChatGPT user said Claude's writing was "impressive." He noticed the quality. He attributed it to Claude being "a writing tool" implying that Claude trades capability for polish, that the writing quality comes at the cost of the analytical depth ChatGPT provides. He told him the attribution is backwards. Claude Opus 5.5's writing quality doesn't come at the expense of analytical depth it comes alongside it. The same model that writes with natural cadence, varied sentence structure, and direct communication also scores Fable-class performance on coding benchmarks, completes complex refactors in fewer iterations than competing models, and achieves the highest alignment score of any model Anthropic has ever tested. He told him early testers of Opus 5.5 consistently describe the communication as "clearer and more direct" than any previous Claude model and markedly more human-sounding than Astra's output. Anthropic trains for communication quality as a distinct capability not just saying the right thing (accuracy) but saying it in a way that reads as a knowledgeable human rather than a capable machine (expression). He told him the practical impact compounds across every output the user doesn't edit before sending. The email drafted by Claude that requires zero editing before forwarding to a client saves 5 minutes. The report that reads as professional analysis rather than AI-generated summary saves 15 minutes of rewriting. The code comments that read as if a senior engineer wrote them rather than a documentation bot save the entire team's reading time. The communication quality isn't a "writing feature." It's a time-saving feature that applies to every output the AI produces.view source ↗
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Two years on Quill. Still the fastest, still local-first, still love it. The plugin ecosystem grew a lot. Two years on Quill. Still the fastest, still local-first, still love it. The plugin ecosystem grew a lot.view source ↗
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Claude computer-use: priced, documented, already on the Mac. Muse just got Mac control + an email address. Still no bill. Still no fail rate. Handing it the inbox before the price exists? https://t.co/QzWon4aQgC Claude computer-use: priced, documented, already on the Mac. Muse just got Mac control + an email address. Still no bill. Still no fail rate. Handing it the inbox before the price exists? https://t.co/QzWon4aQgCview source ↗
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If a better model ships tomorrow, does your product get better or need a rebuild? My new article explores how to preserve skills, context and workflows while keeping model choice flexible. Choose the best model for the job. Build so you can choose again. https://t.co/3WQMffWH4I If a better model ships tomorrow, does your product get better or need a rebuild? My new article explores how to preserve skills, context and workflows while keeping model choice flexible. Choose the best model for the job. Build so you can choose again. https://t.co/3WQMffWH4Iview source ↗
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🧩 PIECE BY PIECE. THE BIGGER PICTURE IS COMING INTO FOCUS. ⚡🏗️🌐 Architectures aren’t erected overnight—they are assembled with deliberate, cryptographic, and computational precision. Every protocol integration, every model family onboarded, and every settled transaction lays another cornerstone in the foundation of th… 🧩 PIECE BY PIECE. THE BIGGER PICTURE IS COMING INTO FOCUS. ⚡🏗️🌐 Architectures aren’t erected overnight—they are assembled with deliberate, cryptographic, and computational precision. Every protocol integration, every model family onboarded, and every settled transaction lays another cornerstone in the foundation of the machine economy. https://t.co/4DqnMciuZX is building the bigger picture: an interconnected, decentralized intelligence matrix where compute, capital, and autonomous agents converge seamlessly. 1️⃣ Assembling the Master Architecture 🧱 The Foundation (Multi-Model Intelligence): Unifying the world's most capable foundation models—from proprietary titans (GPT-6, Claude Opus 5.5) to open-weights powerhouses (Xiaomi MiMo-V2.6, https://t.co/aiGr0hSwtc GLM-5.3-FlashX, Moonshot Kimi K2.8, DeepSeek-V4.1)—under a single, high-throughput routing grid ([https://t.co/i58HLoW0vK](https://t.co/i58HLoW0vK)). ⚙️ The Connectivity (Developer & Agent Tooling): Integrating native Responses API protocols directly into IDE extensions like Codex, eliminating friction between developer intent and execution. 🔗 The Economic Rails (Machine-to-Machine Settlement): Implementing x402 for sub-token micro-metering and ERC-8004 for verifiable cryptographic agent identities, enabling autonomous software actors to fund their own execution loops without human intervention. 📈 The Network Scale: Surpassing 1.51 trillion daily tokens and 2.7M+ registered users, proving that every incremental component compounds into planetary-scale infrastructure. 2️⃣ Web3 Liquidity Rails for Autonomous Agents 🦊 Multi-Chain Wallet Ingestion: Connect OKX Wallet, MetaMask, or TronLink across #TRON, BNB Chain, Ethereum, Solana, Base, Arbitrum, Optimism, and Polygon (supporting 15+ digital assets) or mainstream fiat (Visa, Mastercard, Apple Pay, Google Pay, Alipay, WeChat Pay). 💰 Recharge Matching Incentives: Claim a 1:1 match on BNB Chain (deposit $100 → receive $100 bonus credits) or 1:0.5 on other chanview source ↗
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🎬 ONE VIDEO TO QUICKLY MASTER THE CORE FEATURES OF THE https://t.co/4DqnMciuZX PLATFORM! ⚡🧭🎥🌐 Whether you are an individual AI user, an independent developer, or an engineering team building multi-agent systems and enterprise-grade applications, https://t.co/4DqnMciuZX enables you to access world-class foundation mode… 🎬 ONE VIDEO TO QUICKLY MASTER THE CORE FEATURES OF THE https://t.co/4DqnMciuZX PLATFORM! ⚡🧭🎥🌐 Whether you are an individual AI user, an independent developer, or an engineering team building multi-agent systems and enterprise-grade applications, https://t.co/4DqnMciuZX enables you to access world-class foundation models and high-throughput compute resources with maximum efficiency and minimal cost. From frictionless Web2 / Web3 authentication and a full-category model matrix with intelligent routing, to cost-effective API deployment, flexible subscriptions, and real-time Leaderboard dashboards—this video walkthrough guides you step-by-step through the core features and operational workflows of https://t.co/4DqnMciuZX's model services. 1️⃣ Complete Feature Breakdown & Operational Workflows 🔑 Seamless Web2 / Web3 Login: Access instantly via one-click Google authentication or connect non-custodial Web3 wallets (OKX Wallet, MetaMask, TronLink) across major chains without cumbersome KYC barriers. 🧭 Full-Spectrum Model Matrix & Intelligent Routing: Toggle between global proprietary champions (GPT-6 Sol/Luna, Claude Opus 5.5) and leading open-weights architectures (Xiaomi MiMo-V2.6 Pro/Flash, https://t.co/aiGr0hSwtc GLM-5.3-FlashX, Moonshot Kimi K2.8, DeepSeek-V4.1-Flash). Use Smart Auto-Routing to balance latency, task complexity, and token expenditure on autopilot. 🔌 Cost-Effective API Deployment & Codex Integration: Deploy production workloads via standard OpenAI-compatible endpoints or native Responses API ([https://t.co/nm16yOXbrj](https://t.co/nm16yOXbrj)) directly within your IDE and Codex setups across four major model families (GPT, DeepSeek, GLM, Kimi). 💳 Flexible Recharge & Subscriptions: Choose between high-precision Pay-As-You-Go token micro-metering ($1 = 1M credits) and structured monthly subscription tiers (Plan Pro / Plan Max) to unlock priority queues and specialized agent environments. 🏆 Interactive Leaderboard Dashboards: Benchmark real-time modelview source ↗
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My favorite thing to do with new models: > I want you to do an audit around security, performance, accessibility, maintainability, scalability, architecture, documentation, testing, automation, etc. Opus 5.5 found a significant security issue other models missed. Good model. My favorite thing to do with new models: > I want you to do an audit around security, performance, accessibility, maintainability, scalability, architecture, documentation, testing, automation, etc. Opus 5.5 found a significant security issue other models missed. Good model.view source ↗
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Anthropic Opus 5.5 Cuts Price, Reroutes Some Agent Requests to Older Models Anthropic's new model can silently swap itself out mid-agent task. Read the fine print. #AI #EnterpriseAI #AINews https://autonainews.com/anthropic-opus-5-5-cuts-price-reroutes-some-agent-requests-to-older-models/ Anthropic Opus 5.5 Cuts Price, Reroutes Some Agent Requests to Older Models Anthropic's new model can silently swap itself out mid-agent task. Read the fine print. #AI #EnterpriseAI #AINews https://autonainews.com/anthropic-opus-5-5-cuts-price-reroutes-some-agent-requests-to-older-models/view source ↗
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A 98.4% benchmark score means nothing if your model burns $1,200 in looping API calls and takes 45 seconds to respond I don’t pick GPT-6 or Claude Opus by leaderboard rankings alone. A model sitting at #1 on SWE-bench will bankrupt your system if you use it for routine JSON extraction. And a sub-10ms lightweight guar… A 98.4% benchmark score means nothing if your model burns $1,200 in looping API calls and takes 45 seconds to respond I don’t pick GPT-6 or Claude Opus by leaderboard rankings alone. A model sitting at #1 on SWE-bench will bankrupt your system if you use it for routine JSON extraction. And a sub-10ms lightweight guard will instantly hallucinate if you ask it to plan a multi-file migration. Across 4,800 production workflows, task-fit beats raw benchmark scores every single time. Here is the exact 8-model routing matrix we use in production right now: 1. Claude Opus 5.5 ▸ Best for: Multi-file refactoring, core system architecture, AST-level code invariants. ▸ Why: Highest reasoning fidelity; zero syntax drift across massive repo contexts. 2. Fable 5.1 ▸ Best for: Adversarial stress-testing, plan red-teaming, draft interrogation. ▸ Why: Unfiltered contrarian analysis that catches silent failure modes before deploy. 3. GPT-6 Astra ▸ Best for: Deep scientific research, multi-horizon strategy, market hypothesis generation. ▸ Why: Autonomous multi-step synthesis that connects disparate research corpora. 4. GPT-6 Sol ▸ Best for: High-concurrency tool execution (128 schemas), fast API workflows, landing engines. ▸ Why: Brute-force execution speed at 50% of the cost of heavy monolithic models. 5. Grok 4.7 ▸ Best for: Live web ground-truth, unindexed documentation, breaking real-time telemetry. ▸ Why: Native search routing that bypasses outdated training cutoffs with zero hallucination. 6. Kimi K3 ▸ Best for: Multi-million token ingestion, massive PDF dumps, cross-document auditing. ▸ Why: Relentless recall across 10M+ tokens without needle-in-a-haystack degradation. 7. Gemini 3.8 Flash ▸ Best for: Sub-50ms 4K video understanding, continuous audio, UI-to-code extraction. ▸ Why: Unmatched multimodal ingestion speed and token-per-dollar efficiency. 8. GPT-6 Luna ▸ Best for: Sub-10ms schema validation, lightweight tagging, pre-commit state firewalls. ▸ Why: Milliseconview source ↗
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opus 5.5 is really good at PR descriptions and documentation no other model is in the same league right now opus 5.5 is really good at PR descriptions and documentation no other model is in the same league right nowview source ↗
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⚡ FRONTIER PERFORMANCE WITH BETTER ECONOMICS For AI applications, model quality is only one part of the equation. Cost efficiency determines whether advanced capabilities can move from occasional experiments into continuous production workflows. Claude Opus 5.5 brings these two priorities closer together. As the fir… ⚡ FRONTIER PERFORMANCE WITH BETTER ECONOMICS For AI applications, model quality is only one part of the equation. Cost efficiency determines whether advanced capabilities can move from occasional experiments into continuous production workflows. Claude Opus 5.5 brings these two priorities closer together. As the first model in Anthropic’s Claude 5.5 family, it performs at the level of Claude Fable 5.1 on most tasks while costing approximately 40% less to run than Opus 5. This creates new opportunities for teams building coding agents, research assistants, Computer Use systems, and other long-running autonomous applications. Its 1M-token context window supports large and information-dense workloads, while output of up to 128K tokens enables the model to deliver comprehensive results without forcing complex assignments into many disconnected sessions. By making Claude Opus 5.5 available through both API and Web Chat, https://t.co/9E4zMljHkp gives users flexible access for experimentation, integration, and production deployment. 👉 Try it: https://t.co/Miu0HbV0UT 🔗 Documentation: https://t.co/PdMJZATbHP @BAI_AGI @justinsuntron #TRONEcoStarview source ↗
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💻 BUILT FOR LONG-RUNNING AGENTIC CODING Claude Opus 5.5 is not simply another chatbot model. Its architecture targets workloads where an AI agent must reason, write code, use tools, verify results, and continue working across extended task sequences. The 1M-token context window gives developers room to provide large … 💻 BUILT FOR LONG-RUNNING AGENTIC CODING Claude Opus 5.5 is not simply another chatbot model. Its architecture targets workloads where an AI agent must reason, write code, use tools, verify results, and continue working across extended task sequences. The 1M-token context window gives developers room to provide large repositories, technical documentation, logs, specifications, and historical decisions within one working context. Meanwhile, its maximum output length of 128K tokens supports detailed implementations and comprehensive technical responses. This combination makes Claude Opus 5.5 particularly relevant for repository-level development, complex debugging, code migration, testing, and autonomous software-engineering workflows. The economic improvement is equally important. By delivering performance comparable to Claude Fable 5.1 on most tasks while reducing operating costs by around 40% compared with Opus 5, the model can make advanced agentic workloads more scalable. Explore Claude Opus 5.5 today through the https://t.co/9E4zMljHkp API or Web Chat. 👉 https://t.co/Miu0HbV0UT 🔗 https://t.co/PdMJZATbHP @BAI_AGI @justinsuntron #TRONEcoStar @BAI_AGIview source ↗
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Before changing your coding model, check whether your agent can read the right framework docs. Next.js reports 97% for both Claude Opus 5.5 (high) and GPT-6 Sol (high). In the same leaderboard, Claude Sonnet 5 rises from 81% to 97% with bundled docs supplied through AGENTS.md. That makes documentation access a useful… Before changing your coding model, check whether your agent can read the right framework docs. Next.js reports 97% for both Claude Opus 5.5 (high) and GPT-6 Sol (high). In the same leaderboard, Claude Sonnet 5 rises from 81% to 97% with bundled docs supplied through AGENTS.md. That makes documentation access a useful variable to test in your own setup. These are agent configurations on Next.js tasks, and the score is pass@4: one passing attempt out of four is enough. It isn't a 97% first-try success rate.view source ↗
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🚨 CLAUDE OPUS 5.5 IS NOW LIVE ON https://t.co/8882F71uQS — BUILT FOR THE AGENTIC ERA. 🧠⚡ The first model in Anthropic’s new Claude 5.5 family has arrived on https://t.co/8882F71uQS, targeting demanding agentic coding, autonomous workflows, Computer Use, and complex knowledge work. 🔥 1M-token context window ⚡ Up to 12… 🚨 CLAUDE OPUS 5.5 IS NOW LIVE ON https://t.co/8882F71uQS — BUILT FOR THE AGENTIC ERA. 🧠⚡ The first model in Anthropic’s new Claude 5.5 family has arrived on https://t.co/8882F71uQS, targeting demanding agentic coding, autonomous workflows, Computer Use, and complex knowledge work. 🔥 1M-token context window ⚡ Up to 128K output tokens 🤖 Built for long-running agentic coding 🖥️ Advanced Computer Use & autonomous workflows 💰 ~40% lower running cost than Opus 5, according to the launch details And it’s ready across both https://t.co/8882F71uQS API + Web Chat. Longer context. Deeper workflows. More capable agents. One gateway through https://t.co/8882F71uQS. 🚀 Try Claude Opus 5.5 on https://t.co/8882F71uQS : https://t.co/03dbOApV8F Claude Opus 5.5 Documentation : https://t.co/HjH5iAwREW @justinsuntron @BAI_AGI #TRONEcostarview source ↗