Gemini Embedding Models by Google DeepMind
Google DeepMindProprietary
4 models2023–2026Up to 2k ctxFrom $0.1/1M input
Details
ResearcherGoogle DeepMind
LicenseProprietary
Commercial useCommercial use: conditional
Models4
Released2023–2026
Max context2k
Capabilities
Vision2 of 4 models
Multimodal2 of 4 models
About
Google's Gemini Embedding models for generating text and multimodal embeddings. Used for semantic search, retrieval, classification, and clustering tasks.
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
4 in view
Gemini Embedding 2 PreviewCurrent
Use when the workload needs embedding and multimodal inputs.
2026-04embeddingmultimodal inputs
Gemini Embedding 2Current
Use when the workload needs embedding, multimodal inputs, and audio.
2026-04embeddingmultimodal inputsaudio
Use when the workload needs 2k context.
2023-022k context
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Gemini Embedding 2 Preview | Use when the workload needs embedding and multimodal inputs. | 2026-04 | embeddingmultimodal inputs | Current |
| Gemini Embedding 2 | Use when the workload needs embedding, multimodal inputs, and audio. | 2026-04 | embeddingmultimodal inputsaudio | Current |
| Gemini Embedding | Use when the workload needs embedding. | 2023-12 | embedding | Current |
| text-embedding-004 on Google Vertex AI | Use when the workload needs 2k context. | 2023-02 | 2k context | Current |
Release Timeline
3 release groups2026-04
2 current
Gemini Embedding 2
Currentembeddingmultimodal inputsaudio
Gemini Embedding 2 Preview
Currentembeddingmultimodal inputs
2023-12
1 current
Gemini Embedding
Currentembedding
2023-02
1 current
text-embedding-004 on Google Vertex AI
Current2k context
Specifications(4 models)
| Model | Released | Context | Vision | Multimodal |
|---|---|---|---|---|
| Gemini Embedding 2 Preview | 2026-04 | — | Yes | Yes |
| Gemini Embedding 2 | 2026-04 | — | Yes | Yes |
| Gemini Embedding | 2023-12 | — | No | No |
| text-embedding-004 on Google Vertex AI | 2023-02 | 2k | No | No |
Available From(3 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| text-embedding-004 on Google Vertex AI | GCP Vertex AI | $0.1 | — | Serverless |
| Gemini Embedding | Google AI Studio | $0.15 | — | Serverless |
| Gemini Embedding | GCP Vertex AI | $0.15 | — | Serverless |
| Gemini Embedding | Vercel AI Gateway | $0.15 | — | Serverless |
| Gemini Embedding 2 Preview | Google AI Studio | $0.2 | — | Serverless |
| Gemini Embedding 2 | Google AI Studio | $0.2 | — | Serverless |
| Gemini Embedding 2 | Vercel AI Gateway | $0.2 | — | Serverless |
Frequently Asked Questions
- What is Gemini Embedding used for?
- Gemini Embedding is used for embedding and vision and multimodal work. The family description and listed model capabilities point to those workloads as the best fit.
- How does Gemini Embedding compare to T5Gemma?
- Gemini Embedding by Google DeepMind is strongest where you need embedding, while T5Gemma by Google DeepMind is the closest related family to check for agent workflows and tool use. Gemini Embedding has 4 listed variants and reaches up to 2k context, so compare the specs and pricing tables before choosing a production model.
- Which Gemini Embedding model should I use?
- For the lowest listed input price, start with text-embedding-004 on Google Vertex AI through GCP Vertex AI at $0.1/1M input tokens. For the most capable/latest local choice, evaluate Gemini Embedding 2 Preview with multimodal inputs.
