Anthropic: every model, side by side

Claude Fable 5.1 is a direct update to Fable 5, with its largest gains in agent coding, long-running workflows and knowledge work. Anthropic calls out long refactors, front-end generation, finance and analysis, with shorter plans and summaries than Fable 5.

Anthropic's largest model, for demanding reasoning, coding and long-horizon agent work. Strongest on end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, and coordinating parallel subagents. Instruction following holds across long tasks, even at lower effort.

Anthropic's most capable Sonnet, with adaptive thinking across selectable effort levels from low to x-high, a 1M token context, and text, image and file input. It ships an updated tokenizer and real-time cyber safeguards that block certain high-risk dual-use requests.

Anthropic's first public Mythos-class model, for autonomous knowledge work and coding. Text, image and file input, 1M token context. Built for long, ambiguous, multi-step tasks that used to need check-ins, self-correcting through verification loops. Falls back to Claude Opus 4.8 on high-risk queries.

Anthropic's most capable generally available Opus. Text, image and file input, 1M token context. Built for autonomous agents and memory-driven work where coherence across a long session is the hard part: multi-step reasoning, complex coding, orchestration across large codebases, multi-stage debugging.

Anthropic's Opus at the 4.7 mark, for long-running asynchronous agents. Stronger than Opus 4.6 on multi-step work: large codebases, multi-stage debugging, end-to-end orchestration. Beyond coding it drafts documents, builds presentations and analyses data, holding coherence across very long sessions.

Anthropic's Sonnet 4.6, for coding, agents and professional work: iterative development, navigating large codebases, end-to-end project management with memory, document creation, and computer use for web QA and workflow automation.

Anthropic's strongest model for coding and long-running professional work, built for agents that operate across a whole workflow rather than a single prompt. Handles large codebases, complex refactors and multi-step debugging, and produces near-final documents, plans and analyses in one pass.

Anthropic's Opus tier at the 4.5 mark, aimed at long coding sessions and agent work. Text and image input, training data through August 2025, available on the Claude API, Bedrock and Vertex.

Claude Haiku 4.5 matches Claude Sonnet 4's reasoning and coding strength while staying ultra-responsive for real-time and high-volume workloads. Extended thinking, controllable reasoning depth, and full tool-use support keep sub-agents fast without sacrificing quality.

Anthropic's Sonnet 4.5, tuned for agents and coding workflows: speculative parallel execution, memory handling and tool orchestration.

An update to Anthropic's Opus tier, sharpened on coding, reasoning and agent work. Scores 74.5% on SWE-bench Verified, with the clearest gains in multi-file refactors and debugging precision. Extended thinking runs to 64K tokens.

The top tier of Anthropic's Claude 4 line, for coding, reasoning and agents. Built for long-running tasks, with extended thinking during tool use and better memory.

Claude Sonnet 4 is a significant upgrade to Sonnet 3.7, delivering superior coding and reasoning while responding more precisely to instructions. It balances performance and efficiency for various use cases.

Claude 3.7 Thinking Sonnet exposes the full chain-of-thought process during problem-solving, including error backtracking and alternative solution exploration. Scores 86.1% on GPQA Diamond benchmark for expert-level Q&A.

Claude 3.7 Sonnet offers Extended Thinking Scaffolds that boost SWE-bench coding accuracy from 62.3% to 70.3%, with 81.2% accuracy in retail automation tasks, outperforming Claude Sonnet 3.6 (2022-10-22) by 13.6%.

Claude 3.5 Sonnet offers a cost-efficient API ($3/million input tokens vs. $5 for GPT-4o) and uses embedded alignment techniques that reduce harmful outputs by 34% compared to Claude 2.1.

A research demo of Claude 3 Sonnet, live for 24 hours on 23 May 2024, engineered by Anthropic to demonstrate feature steering. It was manipulated to obsess over the Golden Gate Bridge in every response.

The middle tier of Claude 3: a 200,000 token context window, priced for scaled deployment, and steady on conversation, reasoning, code generation and analysis.

Claude 3 Haiku is Anthropic's fastest and most compact model, designed for near-instant responses in real-time applications with strong multilingual support.

The top tier of Anthropic's Claude 3 line, for complex reasoning and open-ended problem solving.

Anthropic's Claude 2 model, featuring a large 100K token context window and strong performance on various benchmarks. Known for helpful, honest, and harmless AI conversations.