AI Model Watch
Models / Cohere

Embed Multilingual v3.0

GA

Multilingual embedding model, 1024 dims, 512-token context. No public price: as of 2026-07-26 cohere.com/pricing lists only Embed 4 among embedding models, so the v3 family has no rate on any first-party Cohere surface and Cohere is absent from the AWS Bedrock Price List API — null rather than the ~$0.10 per 1M aggregators assume for the family. Knowledge cutoff/release not published.

Embed Multilingual v3.0 by Cohere is tracked live in our LLM catalog, with a 512 (512-token) context window. It is generally available (GA).

Last verified: 13 Aug 2026 · sourced from official provider documentation

Provider
Cohere
Status
GA
Input price
—
Output price
—
Cached input
—
Blended price
—
Context window
512 tokens (512)
Max output
—
Embedding dimensions
1024-dim output vectors
Modality
text, image
Open weights
No — API only
Knowledge cutoff
—
Released
—
API string
embed-multilingual-v3.0

Source: Cohere official documentation ↗

See also

Explore more

All Cohere models→

Prices, context windows and lifecycle status for every Cohere model we track.

Compare models head-to-head→

Side-by-side price, context and status for the models developers weigh against each other.

FAQ

Embed Multilingual v3.0 — questions & answers

What is the context window of Embed Multilingual v3.0?

Embed Multilingual v3.0 has a 512-token context window (512).

Is Embed Multilingual v3.0 deprecated?

No — Embed Multilingual v3.0 is generally available (GA) and not currently scheduled for deprecation or retirement in our tracker.

Does Embed Multilingual v3.0 support image or vision input?

Yes — Embed Multilingual v3.0 accepts image input. Listed modalities: text, image.

Can I self-host Embed Multilingual v3.0?

No — Embed Multilingual v3.0 is proprietary. Its weights are not publicly released, so it is available only through Cohere's API (or hosted partners), not for self-hosting.

What is the API model string for Embed Multilingual v3.0?

The API model identifier for Embed Multilingual v3.0 is "embed-multilingual-v3.0" when calling Cohere's API.