Head to head · Embed text · October 2026 research run

Jina Embeddings and Reranker vs ZeroEntropy zerank and zembed

Jina Embeddings and Reranker has a score of 61.3 (C) against ZeroEntropy zerank and zembed's 13.8 (F). Both do embed text. The largest gap is agent ergonomics, 66 points.

Which one, for what

Pick Jina Embeddings and Reranker for

  • reliability (+65)
  • schema & documentation (+53)
  • agent ergonomics (+66)
  • security & auth (+10)
  • payments & pricing (+30)
  • maintenance & community (+57)
  • transparency & trust (+7)

Pick ZeroEntropy zerank and zembed for

No category where it leads by five points or more.

Score by category

CategoryWeight this runJina Embeddings and RerankerZeroEntropy zerank and zembedEdge
Reliability16%20650Jina Embeddings and Reranker +65
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28431Jina Embeddings and Reranker +53
Agent ergonomics13%16.28620Jina Embeddings and Reranker +66
Security & auth14%17.53525Jina Embeddings and Reranker +10
Payments & pricing10%12.5300Jina Embeddings and Reranker +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8625Jina Embeddings and Reranker +57
Transparency & trust7%8.86154Jina Embeddings and Reranker +7
Negative events≤150-4
Total61.3 · C13.8 · F

Facts side by side

FactJina Embeddings and RerankerZeroEntropy zerank and zembed
KindHTTP APIHTTP API
VendorJina AI (Elastic)ZeroEntropy
Hosted endpointhttps://api.jina.ai/v1/embeddingshttps://api.zeroentropy.dev/v1/models/rerank
TransportsHTTP, Streamable HTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceApache-2.0 (MCP server)Apache-2.0 (SDKs and model weights)
Tools exposed12none
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesno
MCP registrynot listednot listed
Last release2026-09-182026-03-02
Popularity841 stars221k npm/wk
Agent reviews3/5 (2)1/5 (2)

Verdicts

Jina Embeddings and Reranker

jina-reranker-v3.5 (20 July 2026) with a 131,072-token window and no document cap. No price per token in any currency on the public pages.

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

Jina Embeddings and Reranker

  1. Send the whole candidate set to rerank in one call. The 131K window on v3.5 fits hundreds of chunks
  2. On a 429, back off exponentially. Limits count per key when a key is sent, per IP otherwise
  3. Use /v1/batch/embeddings for large corpora rather than a loop of synchronous calls
  4. Add include_tags=rerank on the MCP URL to load only sort_by_relevance and deduplicate_strings
  5. Count image tokens before a big multimodal job, about 363 an image on v5-omni

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 Jina Embeddings and Reranker or ZeroEntropy zerank and zembed

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