Model card

Cohere Embed v4

lx1-cohere-embed-4EmbeddingsLive in the catalog

A multilingual embedding built for enterprise search: over a hundred languages, a long 128K input window, and Matryoshka dimensions you can shorten to fit your index. Strong when your corpus is multilingual or your documents are long.

Max input128K tokens

Input · per Mtok$0.12

Dimensions1,536

Served byLayer X1 engine

Where it earns its keep[01/03]

01100+ languages in one model
02128K input for long documents
03Shortenable dimensions for cheaper indexes

Capabilities

EmbeddingsYes

Turns text into a fixed-length vector for semantic search, RAG, clustering, and dedupe. Call it on /v1/embeddings with a string or array of inputs — no chat, tools, or reasoning.

Behind the endpoint[02/03]

One endpoint. Served by our engine.

Cohere Embed v4 is served through the Layer X1 engine — zero-downtime serving is the design target, not a status-page apology. You request it by name; everything else is our problem.

Call it by name

curl https://api.layerx1.in/v1/embeddings \
  -H "authorization: Bearer lx1_your_key" \
  -H "content-type: application/json" \
  -d '{
    "model": "lx1-cohere-embed-4",
    "input": "text to embed"
  }'

OpenAI-style clients work too — POST the same model name to /v1/embeddings with a Bearer key. See the docs for both dialects.

Your agent doesn't change.
Everything underneath does.

$export ANTHROPIC_BASE_URL=https://api.layerx1.in

Get a key Read the docs

Start free · no card · Starter from $5/mo

One endpoint. Served by our engine.

Your agent doesn't change.Everything underneath does.

Your agent doesn't change.
Everything underneath does.