Capabilities
7-day heat trend
−28.9%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 33% of tracked models
- Faster than 9% of tracked models
- Efficiency rank: #721 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-large
OpenAI large embedding model for higher quality retrieval, ranking, and semantic indexing.
text-embedding-3-large is a Text model from OpenAI (US). HotON.ai tracks it at $0.13 per 1M input tokens and $0.00 per 1M output tokens, with a 8K-token context window, ~125 tokens/sec throughput and 96.8% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare text-embedding-3-large
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Frequently asked questions
How much does text-embedding-3-large cost per 1M tokens?+
text-embedding-3-large is tracked at $0.13 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.03 per 1M tokens. Figures are illustrative demo data.
What is text-embedding-3-large 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-large?+
text-embedding-3-large delivers about 125 tokens/sec with 96.8% tracked availability, suitable for latency-sensitive, real-time applications.
Is text-embedding-3-large cheaper than other AI models?+
Within the HotON.ai tracked set, text-embedding-3-large is cheaper than 33% of models on input price and ranks #721 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.