Text Embedding 3 Large API

What is Text Embedding 3 Large API in NextModel?

openai/text-embedding-3-large turns text into vectors and is billed only on input: $0.13 per million tokens. There is no output price because embeddings are not generated tokens, and the catalog snapshot publishes no context window for this id. If $0.13 is too much for your volume, the text-embedding-3-small sibling is listed several times cheaper per 1M input tokens on the same gateway — see its page for the exact rate.

Text Embedding 3 Large via NextModel: context unpublished; $0.13 / 1M tokens in / $0 / 1M tokens out per 1M tokens. Capabilities: streaming.

Best use cases

• Retrieval or clustering workloads that want the larger embedding id at its published $0.13 per 1M input tokens.
• Pipelines already speaking the OpenAI embeddings API against an OpenAI-compatible gateway.
• Cases where the published price gap to text-embedding-3-small buys quality your metrics can see.

When not to use

• High-volume embedding where $0.13 per 1M adds up: text-embedding-3-small is the cheaper sibling.
• You need a published context window: none is published for this id.
• You need chat or tool calls — this is an embedding id.

OpenAI-compatible code example

curl https://api.nextmodel.app/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $NEXTMODEL_API_KEY" \
  -d '{"model":"openai/text-embedding-3-large","messages":[{"role":"user","content":"Reply with OK."}]}'

Try it in the playground

Similar alternatives

Compare Text Embedding 3 Large