vertex_ai-embedding-models multimodalembedding@001
vertex_ai-embedding-models multimodalembedding@001 costs USD 0.80 per 1M input tokens and nothing per 1M output tokens (community cross-check, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json), verified 2026-10-24 10:58 UTC.
Last verified 2026-10-24T10:58:26+00:00 · Source: https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json (community cross-check, waak source litellm)
No first-party source is read for this model yet; this value is a community cross-check and can lag the provider.
Price
- Input
- USD 0.80 / 1M tokens
- Output
- Free / 1M tokens
- This price since
- 2025-03-30T02:23:09+00:00
- FX used
- 1 EUR = 1.0797 USD (ECB)
- Billing
- per_token
Specification
- Context window (tokens)
- 2,048
- Mode
- embedding
- Region
- global
- Listing
- listing not verifiable
aggregator / community mirror: no first-party public page to check against - First seen
- 2025-03-30T02:23:09+00:00
- SKU id
llm/vertex_ai-embedding-models/multimodalembedding@001
Price history (90 days)
| Observed (UTC) | Price | USD | EUR | Output / 1M | Snapshot |
|---|---|---|---|---|---|
| 2025-03-30T02:23:09+00:00 | USD 0.80 | 0.80 | 0.7409 | 0.00 | #145 |
Each row is a change point: the price held from that moment until the next row. Full history: JSON · CSV.
Changes
| Seen | Kind | Change |
|---|---|---|
| 2025-03-30T02:23:09+00:00 between 2025-03-23 and 2025-03-30 |
New SKU | 0.8 USD |
API: /v1/skus/llm/vertex_ai-embedding-models/multimodalembedding@001
Cite this
Free to reuse under CC BY 4.0 with this credit. The numbers are list prices, not transacted prices.
InfraRabbit (2026). vertex_ai-embedding-models multimodalembedding@001 [data as of 2026-10-24]. https://infrarabbit.com/llm/vertex_ai-embedding-models/multimodalembedding@001 (accessed 2026-10-24). List prices, not transacted prices. CC BY 4.0.
BibTeX
@misc{infrarabbit_llm_vertex_ai_embedding_models_multimodalembedding_001_2026,
author = {{InfraRabbit}},
title = {vertex_ai-embedding-models multimodalembedding@001},
year = {2026},
howpublished = {\url{https://infrarabbit.com/llm/vertex_ai-embedding-models/multimodalembedding@001}},
note = {Data as of 2026-10-24; accessed 2026-10-24; list prices, not transacted prices; CC BY 4.0}
}