Claude 3 \ Anthropic vs Switch Transformers

Claude 3 is Anthropic's third-generation large language model family, released in March 2024. It includes three tiers: Haiku for speed and cost, Sonnet for balanced performance, and Opus for the highest reasoning depth. Each model targets a different tradeoff between intelligence, latency, and price.

The family handles text, code, analysis, and vision tasks. Claude 3 models process photos, charts, graphs, and technical diagrams. They support a 200K token context window at launch, with inputs exceeding 1 million tokens available to select customers. Opus and Sonnet launched on claude.ai and the Claude API in 159 countries, with Haiku following shortly after.

Anthropic built Claude 3 with Constitutional AI safety methods and Responsible Scaling Policy guardrails. The models are available through the Claude API, Amazon Bedrock, and Google Cloud Vertex AI. Sonnet powers the free tier on claude.ai, while Opus is available to Claude Pro subscribers.

Switch Transformers introduce a sparse Mixture of Experts architecture that routes each input to a single expert, reducing communication overhead while scaling to trillion-parameter language models with constant compute cost. The paper from Google researchers William Fedus, Barret Zoph, and Noam Shazeer simplifies MoE routing, improves training stability, and reports up to 7x faster pre-training than dense T5 models on the same compute budget.

The approach builds on the T5 architecture and supports multilingual training across 101 languages. Switch Transformers also enable training with bfloat16 precision for faster, more stable large-scale runs. The work targets researchers and engineers who need to scale NLP models without proportional increases in hardware cost.

Published on arXiv as a research paper, Switch Transformers documents methods for efficient sparse activation rather than a commercial SaaS product. The paper and PDF are freely available for download and citation.