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Vertex AI Embeddings offers usage-based pricing from $0.000020–$0.200 per listed input unit as of August 2026. Plans: Gemini Embedding (usage-based), Embeddings for Text (Excluding Gemini Embedding) (usage-based), Gemini Embedding 2 (Unified Multimodal) (usage-based), and multimodalembedding (usage-based). Usage cost depends on the selected model and generation volume.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: No free tier available

Vertex AI Embeddings offers 4 pricing tiers: Gemini Embedding, Embeddings for Text (Excluding Gemini Embedding), Gemini Embedding 2 (Unified Multimodal), multimodalembedding. Paid plans include Gemini Embedding (usage-based), Embeddings for Text (Excluding Gemini Embedding) (usage-based), Gemini Embedding 2 (Unified Multimodal) (usage-based). The Embeddings for Text (Excluding Gemini Embedding) plan is character-priced text embedding workloads.

Top Vertex AI Embeddings alternatives as of August 2026 include Jina Embeddings, Mixedbread, Nomic Embed. Vertex AI Embeddings costs $0.00002-$0.2/listed input unit. Pricing verified from 1 sources by CostBench.

Top Vertex AI Embeddings Alternatives

1

Jina Embeddings

Medium Effort
$0–$500/per million tokens
Best for: Developers evaluating Jina embeddings for non-commercial projects
vs Vertex AI Embeddings:

Compare Vertex AI Embeddings vs Jina Embeddings for your needs

2

Mixedbread

Medium Effort
$0–$20/month
Best for: Hobbyists and evaluators trying Mixedbread
vs Vertex AI Embeddings:

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3

Nomic Embed

Medium Effort
Free
Best for: Developers self-hosting embeddings
vs Vertex AI Embeddings:

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4

Voyage AI

Medium Effort
$0–$0.18/per million tokens
Best for: Developers evaluating embedding quality
vs Vertex AI Embeddings:

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5

OpenAI Embeddings

Medium Effort
$0.02–$0.13/per million tokens
Best for: General use
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6

Cohere Embed

Medium Effort
$0.1–$0.12/month
Best for: General use
vs Vertex AI Embeddings:

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When to Stay with Vertex AI Embeddings

Best for Google Cloud workloads that need text or multimodal embeddings with online and batch input pricing.

  • You've invested heavily in customizations and integrations
  • Your team is highly trained and productive on Vertex AI Embeddings
  • You need features that alternatives don't offer
  • Migration costs would exceed multi-year savings

Price Comparison

Product Price Range Migration
Current Vertex AI Embeddings $0.00-$0.20/listed input unit -
Jina Embeddings $0–$500/per million tokens medium
Mixedbread $0–$20/month medium
Nomic Embed Free medium
Voyage AI $0–$0.18/per million tokens medium
OpenAI Embeddings $0.02–$0.13/per million tokens medium
Cohere Embed $0.1–$0.12/month medium

Detailed Comparisons

Frequently Asked Questions

01 What are the best Vertex AI Embeddings alternatives?

The top Vertex AI Embeddings alternatives include Jina Embeddings, Mixedbread, Nomic Embed, Voyage AI, OpenAI Embeddings, Cohere Embed. Each offers different strengths: Jina Embeddings is developers evaluating jina embeddings for non-commercial projects, while Mixedbread is hobbyists and evaluators trying mixedbread.

02 Is it hard to switch from Vertex AI Embeddings to an alternative?

Migration difficulty varies by alternative. Among Vertex AI Embeddings alternatives, some options offer easy migration paths with import tools. More complex migrations may require data cleanup and workflow reconfiguration.

03 How much can I save by switching from Vertex AI Embeddings?

Depending on the alternative you choose, you could save anywhere from 20% to 70% on per-user costs. Vertex AI Embeddings's pricing is competitive, so cost savings depend on your specific feature requirements. Factor in migration costs and productivity dip during transition.

04 Should I stay with Vertex AI Embeddings or switch?

Best for Google Cloud workloads that need text or multimodal embeddings with online and batch input pricing. However, if your needs have evolved or you're not using Vertex AI Embeddings's advanced features, exploring alternatives could save you money and complexity.