Model card

Qwen3 Embedding 0.6B

sdn-qwen3-embed-0.6bEmbeddingsLive in the catalog

A multilingual embedding built for retrieval, with 1024 dimensions and an 8K input window that takes long documents in one piece. Best suited to batch indexing rather than latency-critical paths — it is the most deliberate model in this tier.

Max input8K tokens

Input · per Mtok$0.02

Dimensions1,024

AvailabilityLive

Where it earns its keep[01/03]

018K input for long documents
02Strong multilingual retrieval
031024 dimensions

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.

Qwen3 Embedding 0.6B is served through the Sideren 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.sideren.io/v1/embeddings \
  -H "authorization: Bearer sdn_your_key" \
  -H "content-type: application/json" \
  -d '{
    "model": "sdn-qwen3-embed-0.6b",
    "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.sideren.io

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.