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KinfraEmbeddingskinfra-text-embedding-0.6b

Kinfra Text Embedding 0.6B

Kinfra Text Embedding 0.6B for Embeddings.

Explore Kinfra Text Embedding 0.6B for Embeddings through the unified API. Supported interfaces and current availability are shown below.

  • Embeddings

Model details

Context window
33K tokens
Max output
—
Input
Text
Output
Embeddings
Capabilities
—
Interfaces
Embeddings

Pricing

Prices use the units shown below. No gateway fees. Usage, size and model options may affect the total.

Kinfra Text Embedding 0.6B pricing.
MetricPrice
/ 1M input tokens$0.07

Why teams pick it

  • Kinfra Text Embedding 0.6B for Embeddings.

Call Kinfra Text Embedding 0.6B

Kinfra Text Embedding 0.6B answers on the API below — pick the one your code already speaks and just swap in your Inferray key.

/v1/embeddingsEmbeddings · openai SDK or plain HTTP
curl https://api.inferray.com/v1/embeddings \
  -H "Authorization: Bearer inferray_..." \
  -H "Content-Type: application/json" \
  -d '{
  "model": "kinfra-text-embedding-0.6b",
  "input": [
    "A sample document"
  ]
}'

More from Kinfra

Questions about this model

Is there a free tier for Kinfra Text Embedding 0.6B?
No. You add credit and pay Kinfra Text Embedding 0.6B's list rate for each request — seats, projects, and API keys are free, and pay-as-you-go credit never expires.
Am I charged for failed requests?
No. A request that fails without returning a result is not billed. If a response fails part-way, the tokens already processed before the failure are charged.
Is Kinfra Text Embedding 0.6B included in Token Plans?
No. Kinfra Text Embedding 0.6B is pay-as-you-go only; Token Plans cover the other text models in the catalog.
Does Kinfra Text Embedding 0.6B support tool calling and vision?
Kinfra Text Embedding 0.6B takes text in and returns text.
Is it the real Kinfra Text Embedding 0.6B?
Yes. A request for kinfra-text-embedding-0.6b is answered by Kinfra Text Embedding 0.6B from Kinfra, billed at its published list price. Inferray never substitutes a different or smaller model.