Get an email when this model's blended price drops. No account needed.
One email per drop. Unsubscribe anytime.
Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-10 · Source: openai_official_pricing
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
OpenAI small embedding model for semantic search, retrieval, clustering, and classification.
text-embedding-3-small is a Text model from OpenAI (US). HotON.ai tracks it at $0.02 per 1M input tokens and $0.00 per 1M output tokens, with a 8K-token context window. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
text-embedding-3-small is tracked at $0.02 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.01 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
text-embedding-3-small supports up to a 8K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, text-embedding-3-small is cheaper than 97% of models on input price and ranks #374 of 535 by overall efficiency.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — text-embedding-3-small (OpenAI): $0.02/1M input, $0.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/openai-text-embedding-3-smallPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.