Multimodal Embeddings
multimodalembedding
Last refreshed 2026-05-11. Next refresh: weekly.
Multimodal Embeddings 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 2026-04-19.
Use it for
- Teams evaluating general LLM work
- Buyers comparing 1 tracked provider route
Do not use it for
- Strict JSON or tool-calling flows
Cheapest output
Free
GCP Vertex AI per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-04-19
Researched 29d 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 |
|---|---|---|---|
| GCP Vertex AI | Free | Free | Serverless |
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
Google multimodal embedding model for joint image-text representations.
Multimodal Embeddings input tokens at $0/1M, output at $0/1M.
