Introducing Claude 3.5 Sonnet
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.
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Anthropic launches Claude 3 model family: Haiku, Sonnet, and Opus
Anthropic announced the Claude 3 model family on March 4, 2024, comprising three models — Haiku, Sonnet, and Opus — in ascending capability order. Claude 3 Opus claims top performance on major benchmarks including MMLU, GPQA, and GSM8K, with near-perfect recall on long-context evaluations (200K context window, 99%+ NIAH accuracy) and new multimodal vision capabilities. The release also highlights reduced unnecessary refusals, a twofold accuracy improvement over Claude 2.1, and Constitutional AI-based safety tuning. Opus and Sonnet launched immediately via claude.ai and the Claude API across 159 countries, with Haiku to follow.
Anthropic Releases Claude Sonnet 4.6 with 1M Token Context, Improved Computer Use, and Coding Capabilities
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.
Claude 3.7 Sonnet and Claude Code: Anthropic's First Hybrid Reasoning Model and Agentic Coding Tool
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 Releases Claude Sonnet 4.5: Top Coding and Computer-Use Model with Agent SDK
Anthropic has released Claude Sonnet 4.5, claiming it is the best coding model and strongest model for building complex agents, with a 61.4% score on OSWorld (up from 42.2% for Sonnet 4) and state-of-the-art performance on SWE-bench Verified. The release is accompanied by major product upgrades including checkpoints in Claude Code, a native VS Code extension, a Claude Agent SDK giving developers access to the same infrastructure powering Claude Code, and new context editing and memory tools in the Claude API. Pricing is unchanged from Sonnet 4 at $3/$15 per million input/output tokens. Early enterprise customers including Cursor, GitHub Copilot, Devin, Canva, and Figma report significant gains in coding, agentic, and long-context tasks.
Claude Opus 4.6 Released with 1M Token Context, Agentic Coding Advances, and State-of-the-Art Benchmarks
Anthropic has released Claude Opus 4.6, its most capable model to date, featuring a 1M token context window in beta, improved agentic coding and planning capabilities, and adaptive thinking with developer-controlled effort levels. The model claims top scores on Terminal-Bench 2.0, Humanity's Last Exam, GDPval-AA, and BrowseComp, outperforming OpenAI's GPT-5.2 by 144 Elo points on GDPval-AA. New product features include agent teams in Claude Code, context compaction for long-running tasks, and Claude in PowerPoint (research preview). Pricing remains unchanged at $5/$25 per million input/output tokens.
Anthropic launches Claude 2 with 100K context window and improved coding, reasoning, and safety
Anthropic released Claude 2, featuring a 100K token context window, improved performance on coding (71.2% on Codex HumanEval, up from 56.0%), math (88.0% on GSM8k), and legal reasoning (76.5% on the Bar exam multiple choice section). The model is available via API at the same price as Claude 1.3 and through a new public beta at claude.ai for US and UK users. Safety improvements include a 2x reduction in harmful outputs on internal red-team evaluations compared to Claude 1.3. Early API partners include Jasper and Sourcegraph.
Anthropic Launches Claude Haiku 4.5: Near-Frontier Performance at $1/$5 per Million Tokens
Anthropic has released Claude Haiku 4.5, a small model priced at $1/$5 per million input/output tokens that delivers coding performance comparable to Claude Sonnet 4 at one-third the cost and more than twice the speed. The model surpasses Sonnet 4 on computer use tasks and achieves 90% of Sonnet 4.5's performance on agentic coding evaluations, running 4-5x faster than Sonnet 4.5. Notably, Haiku 4.5 is classified under ASL-2 safety standards—less restrictive than the ASL-3 applied to Sonnet 4.5 and Opus 4.1—and is described as Anthropic's safest model by automated alignment metrics. It is available via the Claude API, Amazon Bedrock, and Google Cloud Vertex AI.
Anthropic Releases Computer Use Capability for Claude 3.5 Sonnet
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.