Anthropic
Frontier language models for coding, reasoning, multimodal understanding, and AI agents
Anthropic develops the Claude family of language models, focused on strong reasoning, coding, multimodal understanding, and long-running agent workflows. In Runware, Anthropic models fit teams that need reliable instruction following, high-quality text generation, image understanding, and production-grade AI systems across knowledge work and software engineering.
Models by Anthropic
Claude Fable 5 is Anthropic's new top-capability generally available Claude model. It is built for long-running coding, agentic execution, multimodal reasoning, research, and high-stakes professional workflows, with stronger long-horizon performance than earlier Opus models, state-of-the-art vision, and a 1M-token context window. Safety classifiers can route some sensitive requests to Claude Opus 4.8 instead.
Claude Opus 4.8 is Anthropic's highest-capability Claude model. It is built for demanding coding, agent orchestration, multimodal reasoning, and professional workflows that need strong instruction following, adaptive and extended thinking, high-resolution vision, and a 1M-token context window.
Claude Opus 4.7 is Anthropic's highest-capability generally available Claude model. It is designed for demanding coding, agent orchestration, multimodal reasoning, and high-stakes professional workflows, with stronger instruction following, better high-resolution vision, adaptive thinking, and a 1M-token context window.
Claude Sonnet 4.6 is Anthropic's most capable Sonnet model, built for daily production use across coding, agent workflows, long-context reasoning, computer use, and professional knowledge work. It supports adaptive and extended thinking, strong instruction following, high-volume automation, and a 1M-token context window in beta.
Claude Haiku 4.5 is Anthropic's fastest and most cost-efficient Claude model. It is built for latency-sensitive applications, high-volume agents, sub-agent orchestration, coding assistance, and budget-conscious deployments that still need strong reasoning and multimodal understanding.