Capabilities
7-day heat trend
−17.0%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 42% of tracked models
- Faster than 82% of tracked models
- Efficiency rank: #722 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About text-embedding-3-small
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, ~165 tokens/sec throughput and 98.0% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare text-embedding-3-small
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Frequently asked questions
How much does text-embedding-3-small cost per 1M tokens?+
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.
What is text-embedding-3-small best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is text-embedding-3-small?+
text-embedding-3-small delivers about 165 tokens/sec with 98.0% tracked availability, suitable for latency-sensitive, real-time applications.
Is text-embedding-3-small cheaper than other AI models?+
Within the HotON.ai tracked set, text-embedding-3-small is cheaper than 42% of models on input price and ranks #722 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.