Kimi K2.7 Code is now on CometAPI — Kimi's most intelligent coding model to date, reliably follows instructions in long contexts and completes programming tasks with a higher success rate. Try it now
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Anthropic Models

Browse models from Anthropic
Claude is a next generation AI assistant built by Anthropic and trained to be safe, accurate, and secure to help you do your best work.
Claude Fable 5
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Claude Fable 5

Coming soon
Input:$8/M
Output:$40/M
The timeline for restored availability is subject to Anthropic’s notice. Due to access restrictions, this model may fail to respond. We recommend using Opus 4.8 as an alternative for now.
Claude Opus 4.8
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Claude Opus 4.8

Input:$4/M
Output:$20/M
Claude Opus 4.8 is a premium AI model designed for advanced reasoning, deep analysis, and high-quality content generation. It excels at handling complex instructions, long-context understanding, and sophisticated problem-solving across professional and technical domains.
Claude Mythos 5
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Claude Mythos 5

Coming soon
Input:$8/M
Output:$40/M
Anthropic's most capable, widely released model, for the most demanding reasoning and long-horizon agentic work
Claude Opus 4.7
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Claude Opus 4.7

Input:$4/M
Output:$20/M
Claude Opus 4.7 is a hybrid reasoning model designed specifically for frontier-level coding, AI agents, and complex multi-step professional work. Unlike lighter models (e.g., Sonnet or Haiku variants), Opus 4.7 prioritizes depth, consistency, and autonomy on the hardest tasks.
Claude Sonnet 4.6
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Claude Sonnet 4.6

Input:$2.4/M
Output:$12/M
Claude Sonnet 4.6 is our most capable Sonnet model yet. It’s a full upgrade of the model’s skills across coding, computer use, long-context reasoning, agent planning, knowledge work, and design. Sonnet 4.6 also features a 1M token context window in beta.
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Claude Mythos Preview

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Claude Mythos Preview

Coming soon
Input:$60/M
Output:$240/M
Claude Mythos Preview is our most capable frontier model to date, and shows a striking leap in scores on many evaluation benchmarks compared to our previous frontier model, Claude Opus 4.6.
Claude Opus 4.6
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Claude Opus 4.6

Input:$4/M
Output:$20/M
Claude Opus 4.6 is Anthropic’s “Opus”-class large language model, released February 2026. It is positioned as a workhorse for knowledge-work and research workflows — improving long-context reasoning, multi-step planning, tool use (including agentic software workflows), and computer-use tasks such as automated slide and spreadsheet generation.
Claude Haiku 4.5
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Claude Haiku 4.5

Context:200K
Input:$0.8/M
Output:$4/M
Fastest, most cost-effective model.
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Claude Sonnet 5

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Claude Sonnet 5

Coming soon
Input:$2.4/M
Output:$12/M
coming soon
Claude Opus 4.5
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Claude Opus 4.5

Context:200K
Input:$4/M
Output:$20/M
Claude Opus 4.5 is an instruction-tuned large language model from Anthropic designed for complex reasoning, coding, and multi-turn dialogue. It supports extended context handling, tool/function calling, structured outputs, and integration with retrieval-augmented workflows. Typical uses include analytical assistants, code generation and review, knowledge-base QA, and content drafting with policy-aligned responses. Technical highlights include instruction following, RAG-friendly behavior, and safety controls available in Claude deployments.
Claude Sonnet 4.5
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Claude Sonnet 4.5

Context:200K
Input:$2.4/M
Output:$12/M
Claude Sonnet 4.5 achieves a significant leap in computer application capabilities. On OSWorld, a benchmark platform for testing AI models on real-world computer tasks, Sonnet 4.5 jumped to the top with 61.4%, whereas just four months prior, Sonnet 4 led with 42.2%. Our Claude for Chrome extension puts these upgraded features into practice.
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Claude Opus 4.1

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Claude Opus 4.1

Context:200K
Input:$12/M
Output:$60/M
Claude Opus 4.1 is an updated version of Anthropic's flagship model, offering improved performance in coding, Inference, and agent tasks. It achieves 74.5% on SWE-bench Verified, showing significant improvements in multi-file code refactoring, debugging accuracy, and detail-oriented Inference. This model supports extended reasoning up to 64K tokens and is optimized for tasks involving research, data analysis, and Tool-assisted Inference.