Anthropic

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

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$10$1.5/1M

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$50$7.5/1M

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1M

Max output:

128K

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

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$10$1.5/1M

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$50$7.5/1M

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1M

Max output:

128K

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance across reasoning, coding, and computer-use tasks, Haiku 4.5 brings frontier-level capability to real-time and high-volume applications.

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$1$0.05/1M

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$5$0.25/1M

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200K

Max output:

64K

Anthropic: Claude Haiku 5.5 is Anthropic’s most affordable, fastest and most powerful small form factor model yet, built for high-volume, cost-sensitive workloads. It handles summarization, reduction, database query, classification, and subagent encoding tasks with low latency, making it particularly useful in real-time customer support, browser usage, and other speed-critical applications.

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$0.1$0.015/1M

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$0.5$0.075/1M

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1M

Max output:

128K

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective for large codebases, complex refactors, and multi-step debugging that unfolds over time. The model shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks than prior generations.

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$5$0.25/1M

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$25$1.25/1M

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1M

Max output:

128K

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. It is especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration.

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$5$0.25/1M

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$25$1.25/1M

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1M

Max output:

128K

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

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$5$0.25/1M

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$25$1.25/1M

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1M

Max output:

128K

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

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$5$0.25/1M

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$25$1.25/1M

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1M

Max output:

128K

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up. The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

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$4$0.2/1M

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$20$1/1M

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1M

Max output:

128K

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.

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$3$0.15/1M

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$15$0.75/1M

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1M

Max output:

128K

Claude Sonnet 5 is built to be the most agentic Sonnet model yet. It can plan, use tools such as browsers and terminals, and operate autonomously at a level that only recently required larger and more expensive models.

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$3$0.15/1M

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$15$0.75/1M

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1M

Max output:

128K

Anthropic: Claude Sonnet 5.5 is Anthropic’s upgraded Sonnet-class model that delivers greater performance than Claude Sonnet 5 while running more than 30% faster and at a lower cost for many workloads. Designed for agent-based coding, tool usage, and everyday professional tasks, it's ideal for developers and teams building fast and powerful AI agents.

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$2$0.1/1M

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$10$0.5/1M

Context length:

1M

Max output:

128K