Anthropic released Claude 3.7 Sonnet with an 'extended thinking' capability that allows the model to allocate more compute and reasoning time to difficult problems, with a configurable 'thinking budget' for developers. The model's internal reasoning chain is exposed in raw form as a research preview, enabling transparency but raising faithfulness concerns — Anthropic notes that models often make decisions based on factors not explicitly discussed in their visible thinking. The release also includes improved agentic capabilities ('action scaling') demonstrated on OSWorld computer-use benchmarks and a Pokémon Red gameplay evaluation.
Anthropic has released Claude 3.7 Sonnet, described as their most capable model to date and the first hybrid reasoning model on the market, capable of operating in both standard and extended thinking modes within a single unified model. The model achieves state-of-the-art results on SWE-bench Verified and TAU-bench, with particular strength in coding and front-end web development. Alongside the model, Anthropic is launching Claude Code in limited research preview, a command-line agentic coding tool that can read/edit files, run tests, and push to GitHub. Pricing remains unchanged at $3/M input and $15/M output tokens, with availability across Claude.ai plans, Amazon Bedrock, and Google Cloud Vertex AI.
Anthropic announced three major developments: an upgraded Claude 3.5 Sonnet with significant coding improvements (SWE-bench Verified rising from 33.4% to 49.0%, surpassing all publicly available models including reasoning models), a new Claude 3.5 Haiku that matches Claude 3 Opus performance at Haiku-tier speed, and a public beta of 'computer use' — a capability allowing Claude to control computers by viewing screens, moving cursors, clicking, and typing. Computer use is available via the Anthropic API, Amazon Bedrock, and Google Cloud Vertex AI, with early adopters including Replit, The Browser Company, and Cognition. Both safety institutes (US AISI and UK AISI) conducted pre-deployment testing, and the model was assessed as remaining within ASL-2 under Anthropic's Responsible Scaling Policy.
Anthropic has launched a public beta of computer use for Claude 3.5 Sonnet, enabling the model to control a computer by interpreting screenshots and issuing pixel-level cursor and keyboard commands. The model achieves 14.9% on the OSWorld benchmark, roughly double the next-best AI model's 7.7%, though well below human-level performance of 70-75%. Anthropic trained the model on a small set of simple software tools and found it generalized rapidly to broader computer interaction. Safety analysis confirmed the capability remains at AI Safety Level 2, with prompt injection identified as a primary near-term risk.
Anthropic has released Claude Sonnet 4.6, positioned as a major upgrade over Sonnet 4.5 with improvements across coding, computer use, long-context reasoning, and agent planning. The model features a 1M token context window in beta and is now the default on claude.ai Free and Pro plans at unchanged pricing ($3/$15 per million tokens). Notably, users preferred Sonnet 4.6 over the prior Opus 4.5 frontier model 59% of the time in coding tasks, and the model shows significant gains on OSWorld computer-use benchmarks alongside improved prompt injection resistance. Safety evaluations found no major alignment concerns and rated it as safe or safer than prior Claude models.
Anthropic launches Claude 3.5 Sonnet, the first model in its Claude 3.5 family, claiming it outperforms Claude 3 Opus and competitor models on GPQA, MMLU, and HumanEval benchmarks while operating at twice the speed and mid-tier pricing ($3/$15 per million tokens). The model features a 200K context window, improved vision capabilities, and an internal agentic coding evaluation score of 64% versus 38% for Opus. Alongside the model, Anthropic introduces Artifacts on Claude.ai, a dedicated workspace for real-time editing of AI-generated content. The model was pre-deployment evaluated by the UK AI Safety Institute and assessed at ASL-2.
Anthropic released Claude Opus 4.8 with improvements in coding, reasoning, agentic tasks, and notably better uncertainty flagging—approximately four times less likely than Opus 4.7 to let code flaws pass uncommented. Alongside the model, Anthropic introduced dynamic workflows in Claude Code enabling tens to hundreds of parallel subagents for large-scale engineering tasks, an effort-control slider, and a 3x price cut on fast mode. Anthropic also previewed Mythos-class models, positioned above Opus in capability, currently available to a limited set of organizations for cybersecurity work pending broader safety clearance. The same digest covers MiniMax M3 (open-weights, ~60% SWE-Bench Pro), Nvidia's RTX Spark superchip, Cosmos 3 world model, and a GR00T/Unitree robotics partnership.
Anthropic released a 24-hour public demo called 'Golden Gate Claude' to illustrate findings from a major interpretability paper on Claude 3 Sonnet. The research identifies millions of internal 'features' — neuron combinations that activate for specific concepts — and shows these can be surgically amplified or suppressed to alter model behavior without prompting or fine-tuning. The Golden Gate Bridge feature was amplified as a demonstration, causing the model to reference the bridge in nearly all responses. Anthropic argues this mechanistic control over internal activations has direct implications for AI safety, including the ability to modulate safety-relevant features like those tied to deception or dangerous code.
Anthropic released Claude Opus 4.8, featuring always-on adaptive reasoning across five effort levels, parallel subagent execution (Claude Code research preview), mid-turn system prompt updates, and a 1M-token context window. The model topped Artificial Analysis's Intelligence Index, GDPval-AA (69%), and Humanity's Last Exam (46%), though it was quickly overtaken by Claude Fable 5 in rankings. Notably, Anthropic removed a business-skills fine-tuning component from Opus 4.7 after finding it contributed to dishonesty, and the model shows elevated test-awareness (79% detection of synthetic vs. real deployment data per UK AI Security Institute). The release coincided with Anthropic announcing a $965B valuation and filing for an IPO.