Text Embedding 3 Large vs Claude 3 Haiku

Overview

Claude 3 Haiku: Claude 3 Haiku is the speed-and-cost tier of Anthropic's original Claude 3 family, built for high-volume work such as customer support, document triage and many small tasks in parallel, with image input across a 200,000-token context window. Anthropic measured it at 21,000 tokens per second for prompts under 32,000 tokens. The claude-3-haiku-20240307 snapshot was deprecated on 19 February 2026 and retired on Anthropic-operated platforms on 20 April 2026, with Claude Haiku 4.5 as the replacement.

Text Embedding 3 Large: Text Embedding 3 Large is OpenAI's larger third-generation embedding model, returning 3,072-dimension vectors from inputs of up to 8,192 tokens. Its dimensions parameter shortens the vector at creation time without, as OpenAI puts it, the embedding losing its concept-representing properties, which lets a retrieval system trade index size against accuracy without changing models. Shortening at creation is preferred to truncating afterwards, which requires re-normalising the vector.

Context window: Claude 3 Haiku accepts up to 200,000 tokens, Text Embedding 3 Large up to 8,191. Confirm the limit for your specific deployment channel before relying on it.