tokenstat
tokenstat

Text Embedding 3 Large

azure-cognitive-services/text-embedding-3-large · rates as of · Benchmarks · Plans · Calculator

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

Cheapest input
$0.09
$/MTok · models.dev
Cheapest output
$0
$/MTok
Context
8K
tokens
Offers
7
3 sources

Offers

Same model, different listings. First-party, router, and aggregator rows stay separate so you can see the spread instead of a single blended number.

SourceProviderInputOutputCache readContext
models.devcheapesttext-embedding-3-largeSAP AI Core$0.09$0$08K
models.devtext-embedding-3-largeAzure$0.13$0$08K
models.devtext-embedding-3-largeAzure$0.13$0$0.0138K
models.devtext-embedding-3-largeOpenAI$0.13$0$0.0138K
OpenRouteropenai/text-embedding-3-largeOpenRouter$0.13$0$08K
LiteLLMtext-embedding-3-large$0.13$0$0.013
LiteLLMvercel_ai_gateway/openai/text-embedding-3-large$0.13$0$0.013

Capabilities

  • In: text
  • Out: text
  • Out: embeddings
Knowledge cutoff: 2024-01Released: 2024-01-25Family: text-embedding

See what you actually spent

tokenstat prices your local sessions at list rates like these, with the cache split kept honest. Free, open source, runs on your machine.

$ curl -fsSL https://tokenstat.ai/install.sh | bash