# Google Vertex AI Text Embeddings vs Nomic Embed

**Leader by Vioscale score:** Google Vertex AI Text Embeddings

| Attribute | Google Vertex AI Text Embeddings | Nomic Embed |
|---|---|---|
| **Vioscale score** | 43.9 (36% (low)) | 29.6 (36% (low)) |
| deployment.options | `{"cloud":true}` | - |
| description.long | 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. | A cloud-based AI platform purpose-built for architecture and construction professionals that automatically parses complex multimodal documents—including drawings, specifications, and project files—and provides intelligent agents for reviewing designs, checking compliance, and searching project knowledge. |
| features.capabilities | `{"pricing_model":"per_million_tokens_api","architecture_model":"managed_cloud_api","multi_modal_image_and_text_joint_embeddings":true,"massive_context_window_greater_than_8k_tokens":true,"multilingual_support_across_100_plus_languages":true,"task_specific_prefixes_query_vs_document_instructions":true}` | `{"architecture_model":"managed_cloud_api","multi_modal_image_and_text_joint_embeddings":true}` |
| integrations.count | 1 | 6 |
| integrations.list | `[{"name":"Vector Search"}]` | `[{"name":"Autodesk Forma"},{"name":"Fieldwire"},{"name":"Bentley ProjectWise"},{"name":"Procore"},{"name":"SharePoint"},{"name":"Egnyte"}]` |
| market.availability | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | - |
| pricing | `{"type":"usage","summary":"Free credits ($300) for new customers; usage-based pricing thereafter","currency":"USD","freeTier":true,"sourceUrl":"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings","retrievedAt":"2026-08-21T11:04:41.911Z"}` | `{"type":"subscription","plans":[{"free":false,"name":"Self Service","summary":"From $20/month","commitment":"monthly","components":[{"kind":"fixed","amount":20,"period":"month","currency":"USD"}],"contactSales":false}],"summary":"From $20/month","currency":"USD","freeTier":false,"sourceUrl":"https://nomic.ai","retrievedAt":"2026-08-21T13:54:31.185Z","startingPrice":{"amount":20,"period":"month","currency":"USD"},"billingPeriods":["month"]}` |
| pricing.free_tier | yes | no |
| pricing.model | freemium | commercial |
| pricing.price_level | low | mid |
| pricing.starting_price | - | `{"amount":20,"currency":"USD"}` |
| pricing.transparent | no | no |

## Capabilities (Embeddings Apis)

| Capability | Google Vertex AI Text Embeddings | Nomic Embed |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Architecture model | Managed cloud API | 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 | - |

*Source: Vioscale. Generated 2026-09-01T15:55:14.990Z. "-" = undocumented, not absent.*