
Small, fast models for reranking, embeddings and decisions
Hosted models for the steps around your LLM: reranking, embeddings and typed decisions. Point your Cohere or OpenAI client at inference.hindsight.vectorize.io and keep your code. hs-rerank-1 and hs-embed-1 are the most accurate small open models on our benchmarks and run fast on a CPU; hs-decide-1-flash answers yes/no, pick-one and how-likely questions in 167 ms, instead of an LLM call. From $0.005 per 1M tokens, $5 free credit, open weights on Hugging Face.
Hindsight Models and Inference API offers hosted models for reranking, embeddings, and decision-making, optimized for speed and accuracy on CPU. The service provides open weights on Hugging Face, with pricing starting at $0.005 per million tokens and includes $5 in free credits.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.