# Google Vertex AI Text Embeddings

> Convert text into dense vector representations that capture semantic meaning for retrieval and similarity tasks

- **Canonical URI:** https://www.vioscale.ai/software/google-vertex-ai-text-embeddings
- **Category:** Embeddings Apis
- **Homepage:** https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings
- **Also known as:** google-vertex-ai-text-embeddings
- **Profile claimed by vendor:** no
- **Last updated:** 2026-08-21T11:17:07.146Z

## Vioscale score

**43.9 / 100**, confidence 36% (low). Computed 2026-09-01. _(updating — computed under an earlier model version or past its freshness window.)_

Composite of weighted, independently-sourced signals (no user reviews, no vendor payment).

| Signal | Score | Weight | Contribution | Evidence present |
|---|--:|--:|--:|:--:|
| price_level | 80 | 0.052 | 4.2 | ✓ |
| reliability | 0 | 0.073 | 0 | - |
| capabilities | 67.1 | 0.04877777777777778 | 3.3 | ✓ |
| integrations | 8.7 | 0.04066666666666666 | 0.4 | ✓ |
| security_posture | 0 | 0.073 | 0 | - |
| pricing_transparency | 25 | 0.084 | 2.1 | ✓ |

## Pricing

_As of 2026-08-21, [verify at source](https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings). Independently observed._

Usage-based · Free tier

> Free credits ($300) for new customers; usage-based pricing thereafter

## About

A cloud-based API that transforms text into high-dimensional vector embeddings using deep learning. Supports multiple languages and task types, integrating with vector databases for efficient semantic search.

_Independently observed._

## Platform & deployment

- **Platforms:** CLI, Web
- **Deployment:** Cloud / SaaS

## Integrations (1)

_Independently observed._

- Vector Search

## Capabilities

_The capabilities that matter for Embeddings Apis. "-" = undocumented, not absent._

| Capability | Supported |
|---|:--:|
| **Capabilities** | |
| Architecture model | Managed cloud API |
| Matryoshka representation learning for dimension truncation | - |
| Multilingual support across 100 plus languages | ✓ |
| Binary and scalar quantization for memory reduction | - |
| Cross encoder reranker API offered | - |
| Late interaction architecture colbert v2 | - |
| Massive context window greater than 8k tokens | ✓ |
| Multi modal image and text joint embeddings | ✓ |
| Task specific prefixes query vs document instructions | ✓ |
| Zero data retention training opt out enterprise | - |
| SOC2 type ii | - |
| Mit or apache permissive oss license | - |
| Pricing model | Per million tokens API |

## Facts

Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule.

### pricing

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| pricing.model | freemium | [link](https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings) | 2026-08-21 | 60% (medium) |
| pricing.free_tier | yes | [link](https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings) | 2026-08-21 | 60% (medium) |
| pricing.price_level | low | [link](https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings) | 2026-08-21 | 60% (medium) |
| pricing.transparent | no | [link](https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings) | 2026-08-21 | 60% (medium) |

### integrations

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| integrations.count | 1 | [link](https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings) | 2026-08-21 | 60% (medium) |

### market

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| market.availability | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | [link](https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings) | 2026-08-21 | 50% (medium) |

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*Source: Vioscale (https://www.vioscale.ai/software/google-vertex-ai-text-embeddings). Independent, evidence-based software intelligence. Cite the canonical URI.*