vertex_ai-embedding-models gemini-embedding-001
vertex_ai-embedding-models gemini-embedding-001 costs USD 0.15 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 04:57 UTC.
Last verified 2026-10-24T04:57:20+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 0.15 / 1M tokens
- Output
- Free / 1M tokens
- Batch input
- USD 0.12 / 1M
- This price since
- 2025-06-06T18:04:21+00:00
- FX used
- 1 EUR = 1.1367 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
- 2025-06-06T18:04:21+00:00
- SKU id
llm/vertex_ai-embedding-models/gemini-embedding-001
Other listings of this model
Sources can disagree. The provider's own listing is first-party; LiteLLM, OpenRouter and models.dev are community cross-checks. Differences are shown, not resolved.
| SKU | Source | Input / 1M | Output / 1M | vs this page | Last verified |
|---|---|---|---|---|---|
| llm/modelsdev/google-vertex/gemini-embedding-001 | modelsdev (community cross-check) | 0.15 | 0.00 | agrees | 2026-10-24T05:42:41+00:00 |
| llm/modelsdev/google/gemini-embedding-001 | modelsdev (community cross-check) | 0.15 | 0.00 | agrees | 2026-10-24T05:42:41+00:00 |
| llm/modelsdev/merge-gateway/google/gemini-embedding-001 | modelsdev (community cross-check) | 0.15 | 0.00 | agrees | 2026-10-24T05:42:41+00:00 |
| llm/modelsdev/tempr/google/gemini-embedding-001 | modelsdev (community cross-check) | 0.15 | 0.00 | agrees | 2026-10-24T05:42:41+00:00 |
| llm/gemini/gemini/gemini-embedding-001 | litellm (community cross-check) | 0.15 | 0.00 | agrees | 2026-10-24T04:57:20+00:00 |
| llm/vercel_ai_gateway/google/gemini-embedding-001 | litellm (community cross-check) | 0.15 | 0.00 | agrees | 2026-10-24T04:57:20+00:00 |
Price history (90 days)
| Observed (UTC) | Price | USD | EUR | Output / 1M | Snapshot |
|---|---|---|---|---|---|
| 2026-09-24T23:42:39+00:00 | USD 0.15 | 0.15 | 0.132 | 0.00 | #312 |
| 2025-06-06T18:04:21+00:00 | USD 0.15 | 0.15 | 0.1315 | 0.00 | #155 |
Each row is a change point: the price held from that moment until the next row. Full history: JSON · CSV.
Changes
| Seen | Kind | Change |
|---|---|---|
| 2026-09-24T23:42:39+00:00 between 2026-09-23 and 2026-09-24 |
Price change batch input, per 1M tokens | – → 0.12 USD |
| 2025-06-06T18:04:21+00:00 between 2025-05-31 and 2025-06-06 |
New SKU | 0.15 USD |
API: /v1/skus/llm/vertex_ai-embedding-models/gemini-embedding-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 gemini-embedding-001 [data as of 2026-10-24]. https://infrarabbit.com/llm/vertex_ai-embedding-models/gemini-embedding-001 (accessed 2026-10-24). List prices, not transacted prices. CC BY 4.0.
BibTeX
@misc{infrarabbit_llm_vertex_ai_embedding_models_gemini_embedding_001_2026,
author = {{InfraRabbit}},
title = {vertex_ai-embedding-models gemini-embedding-001},
year = {2026},
howpublished = {\url{https://infrarabbit.com/llm/vertex_ai-embedding-models/gemini-embedding-001}},
note = {Data as of 2026-10-24; accessed 2026-10-24; list prices, not transacted prices; CC BY 4.0}
}