Embed Multilingual v3.0
cohere-embed-multilingual-v3-0
Last refreshed 2026-05-16. Next refresh: weekly.
Embed Multilingual v3.0 is worth evaluating for general LLM work when its provider route and context window match the workload.
Decision context: Coding task fit, 1 tracked provider route, and research from 2026-01-01.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 512 context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Strict JSON or tool-calling flows
Cheapest output
-
Microsoft Foundry per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-01-01
Researched 137d ago
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Microsoft Foundry | $0.100 | - | ServerlessPartial |
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
Multilingual embedding model supporting text and image inputs across multiple languages. Produces 1024-dimensional embeddings optimized for semantic search, classification, and clustering in non-English languages. Supports multiple similarity metrics.
Embed Multilingual v3.0 has a 512-token context window.
