Claude Sonnet 4, part of the Claude 4 family, is a significant upgrade to Claude Sonnet 3.7. It excels in coding (72.7% on SWE-bench) and reasoning, responding more precisely to instructions. Sonnet 4 offers an optimal mix of capability and practicality, with enhanced steerability, and supports extended thinking with tool use.
Claude Opus 4 is Anthropic's most powerful model and the world's best coding model, part of the Claude 4 family. It delivers sustained performance on complex, long-running tasks and agent workflows. Opus 4 excels at coding, advanced reasoning, and can use tools (like web search) during extended thinking. It supports parallel tool execution and has improved memory capabilities.
The most intelligent Claude model and the first hybrid reasoning model on the market. Claude 3.7 Sonnet can produce near-instant responses or extended, step-by-step thinking that is made visible to the user. Shows particularly strong improvements in coding and front-end web development.
Claude 3.5 Sonnet is a powerful AI model with industry-leading software engineering skills. It excels in coding, planning, and problem-solving, with significant improvements in agentic coding and tool use tasks. The model includes computer use capabilities in public beta, allowing it to interact with computer interfaces like a human user.
Claude 3.5 Haiku is Anthropic's fastest model, delivering advanced coding, tool use, and reasoning capabilities at an accessible price. It excels at user-facing products, specialized sub-agent tasks, and generating personalized experiences from large data volumes. The model is particularly well-suited for code completions, interactive chatbots, data extraction, and real-time content moderation.
A text-only model that delivers lowest-latency responses at very low cost while maintaining strong performance on core language tasks. Optimized for speed and efficiency while preserving high accuracy on key benchmarks.
Llama 3.2 11B Vision Instruct is an instruction-tuned multimodal large language model optimized for visual recognition, image reasoning, captioning, and answering general questions about an image. It accepts text and images as input and generates text as output.
Part of the Jamba 1.5 family, a state-of-the-art hybrid SSM-Transformer instruction following foundation model offering superior long context handling, speed, and quality.
Llama 3.1 8B Instruct is a multilingual large language model optimized for dialogue use cases. It features a 128K context length, state-of-the-art tool use, and strong reasoning capabilities.
