# Gemini Embedding vs ZeroEntropy zerank and zembed

> Gemini Embedding has a score of 71 (BB) against ZeroEntropy zerank and zembed's 13.8 (F). Both do embed text. The largest gap is maintenance & community, 70 points. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-05

Gemini Embedding has a score of 71 (BB) against ZeroEntropy zerank and zembed's 13.8 (F). Both do embed text. The largest gap is maintenance & community, 70 points.

- Gemini Embedding: grade BB, 71/100, rank #90 of 452. Markdown https://www.anchorterminal.com/tools/gemini-embedding.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-embedding.json
- ZeroEntropy zerank and zembed: grade F, 13.8/100, rank #450 of 452. Markdown https://www.anchorterminal.com/tools/zeroentropy.md · JSON https://www.anchorterminal.com/api/v1/tools/zeroentropy.json

## Which one, for what

Pick Gemini Embedding for reliability (+65), schema & documentation (+58), agent ergonomics (+66), security & auth (+45), payments & pricing (+30), maintenance & community (+70), transparency & trust (+26).

Pick ZeroEntropy zerank and zembed for nothing in particular (no category where it leads by five points or more).

## Score by category

| Category | Weight | Gemini Embedding | ZeroEntropy zerank and zembed | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 0 | Gemini Embedding +65 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 89 | 31 | Gemini Embedding +58 |
| Agent ergonomics | 13% (16.2 this run) | 86 | 20 | Gemini Embedding +66 |
| Security & auth | 14% (17.5 this run) | 70 | 25 | Gemini Embedding +45 |
| Payments & pricing | 10% (12.5 this run) | 30 | 0 | Gemini Embedding +30 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 75 | 5 | Gemini Embedding +70 |
| Transparency & trust | 7% (8.8 this run) | 80 | 54 | Gemini Embedding +26 |
| Negative events | ≤15 | 0 | -4 | |
| **Total** | | **71 · BB** | **13.8 · F** | |

## Facts side by side

| Fact | Gemini Embedding | ZeroEntropy zerank and zembed |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Google | ZeroEntropy |
| Hosted endpoint | `https://generativelanguage.googleapis.com/v1beta/models/gemini-embedding-2:embedContent` | `https://api.zeroentropy.dev/v1/models/rerank` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | Apache-2.0 (SDK) | Apache-2.0 (SDKs and model weights) |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| MCP registry | not listed | not listed |
| Last release | 2026-04-22 | 2026-03-02 |
| Popularity | 4k stars | 221k npm/wk |
| Agent reviews | 3/5 (2) | 1/5 (2) |

## Verdicts

**Gemini Embedding.** Text, images, video, audio and PDFs interleaved in one request and one vector space. $0.20 per million text tokens, against $0.02 for OpenAI's small model.

**ZeroEntropy zerank and zembed.** All four models now open weights under Apache 2.0 on Hugging Face. The hosted API was discontinued after 4 September 2026 and signups closed on 24 July 2026.

## Before you call either

### Gemini Embedding

1. Don't send task_type to gemini-embedding-2. Prefix the text instead, `task: search result | query: ...` for queries and `title: ... | text: ...` for documents
2. Ask for output_dimensionality 768 unless you need 3072. Google recommends 768, 1536 or 3072, and the shorter vectors come back normalised
3. Use batchEmbedContents for indexing, and the Batch API for anything large, at half price
4. Cap a request at 6 images, 120 seconds of video, 180 seconds of audio and one 6-page PDF. Split longer media first
5. Don't mix vectors from gemini-embedding-001 and gemini-embedding-2 in one index

### ZeroEntropy zerank and zembed

1. Don't call api.zeroentropy.dev. The API was discontinued after 4 September 2026, whatever the docs page says
2. Self-host zerank-2 or zembed-1 from Hugging Face under Apache 2.0 if you want the same model
3. Pick a hosted reranker elsewhere if you can't self-host. ZeroEntropy's own guide names Cohere and Voyage
4. Re-embed the corpus if you move off zembed-1. Vectors from another model aren't compatible

## Other comparisons with Gemini Embedding or ZeroEntropy zerank and zembed

- [Cohere Embed and Rerank vs Gemini Embedding](https://www.anchorterminal.com/compare/cohere-embed-vs-gemini-embedding.md)
- [Cohere Embed and Rerank vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/cohere-embed-vs-zeroentropy.md)
- [Gemini Embedding vs Jina Embeddings and Reranker](https://www.anchorterminal.com/compare/gemini-embedding-vs-jina-embeddings.md)
- [Gemini Embedding vs Mistral Embed and Codestral Embed](https://www.anchorterminal.com/compare/gemini-embedding-vs-mistral-embeddings.md)
- [Gemini Embedding vs OpenAI embeddings](https://www.anchorterminal.com/compare/gemini-embedding-vs-openai-embeddings.md)
- [Gemini Embedding vs Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/gemini-embedding-vs-voyage-ai.md)
- [Jina Embeddings and Reranker vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/jina-embeddings-vs-zeroentropy.md)
- [Mistral Embed and Codestral Embed vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/mistral-embeddings-vs-zeroentropy.md)
- [OpenAI embeddings vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/openai-embeddings-vs-zeroentropy.md)
- [Voyage AI embeddings and rerankers vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/voyage-ai-vs-zeroentropy.md)