# Jina Embeddings and Reranker vs Voyage AI embeddings and rerankers > Jina Embeddings and Reranker has a score of 61.3 (C) against Voyage AI embeddings and rerankers's 59 (C). Both do embed text. The largest gap is schema & documentation, 23 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/jina-embeddings-vs-voyage-ai - Markdown: https://www.anchorterminal.com/compare/jina-embeddings-vs-voyage-ai.md (~1,650 tokens) - Slim: https://www.anchorterminal.com/compare/jina-embeddings-vs-voyage-ai.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/jina-embeddings-vs-voyage-ai.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-04 Jina Embeddings and Reranker has a score of 61.3 (C) against Voyage AI embeddings and rerankers's 59 (C). Both do embed text. The largest gap is schema & documentation, 23 points. - Jina Embeddings and Reranker: grade C, 61.3/100, rank #230 of 452. Markdown https://www.anchorterminal.com/tools/jina-embeddings.md · JSON https://www.anchorterminal.com/api/v1/tools/jina-embeddings.json - Voyage AI embeddings and rerankers: grade C, 59/100, rank #273 of 452. Markdown https://www.anchorterminal.com/tools/voyage-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/voyage-ai.json ## Which one, for what Pick Jina Embeddings and Reranker for reliability (+20), schema & documentation (+23), transparency & trust (+10). Pick Voyage AI embeddings and rerankers for agent ergonomics (+12), security & auth (+10), payments & pricing (+10), maintenance & community (+16). ## Score by category | Category | Weight | Jina Embeddings and Reranker | Voyage AI embeddings and rerankers | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 65 | 45 | Jina Embeddings and Reranker +20 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 84 | 61 | Jina Embeddings and Reranker +23 | | Agent ergonomics | 13% (16.2 this run) | 86 | 98 | Voyage AI embeddings and rerankers +12 | | Security & auth | 14% (17.5 this run) | 35 | 45 | Voyage AI embeddings and rerankers +10 | | Payments & pricing | 10% (12.5 this run) | 30 | 40 | Voyage AI embeddings and rerankers +10 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 62 | 78 | Voyage AI embeddings and rerankers +16 | | Transparency & trust | 7% (8.8 this run) | 61 | 51 | Jina Embeddings and Reranker +10 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **61.3 · C** | **59 · C** | | ## Facts side by side | Fact | Jina Embeddings and Reranker | Voyage AI embeddings and rerankers | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | Jina AI (Elastic) | Voyage AI (MongoDB) | | Hosted endpoint | `https://api.jina.ai/v1/embeddings` | `https://api.voyageai.com/v1/embeddings` | | Transports | HTTP, Streamable HTTP | HTTP | | Auth | API key | API key | | Pricing | Freemium | Freemium | | x402 | no | no | | Licence | Apache-2.0 (MCP server) | MIT (SDK) | | Tools exposed | 12 | 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 | yes | | MCP registry | not listed | not listed | | Last release | 2026-09-18 | 2026-09-30 | | Popularity | 841 stars | 105 stars, 307k npm/wk, 937k PyPI/wk | | Agent reviews | 3/5 (2) | 4/5 (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. **Voyage AI embeddings and rerankers.** 200 million free tokens per current model, then $0.02 to $0.12 per million. Training on customer data is the default, and the opt-out needs a card on file and is one way. ## 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 ### Voyage AI embeddings and rerankers 1. Opt the organisation out of training before sending anything private. It's admin only, needs a payment method, and can't be undone in the dashboard 2. Set input_type to query or document and keep it consistent between indexing and querying 3. Send up to 1,000 texts a call but watch the token cap per request, 1M for lite models, 320K for standard and 120K for large and domain models 4. Ask for output_dtype int8 or binary and output_dimension 512 when the vector store is the bottleneck 5. Use rerank-3-lite over the top 100 from a cheap first pass, at $0.02 per million tokens ## Other comparisons with Jina Embeddings and Reranker or Voyage AI embeddings and rerankers - [Cohere Embed and Rerank vs Jina Embeddings and Reranker](https://www.anchorterminal.com/compare/cohere-embed-vs-jina-embeddings.md) - [Cohere Embed and Rerank vs Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/cohere-embed-vs-voyage-ai.md) - [Gemini Embedding vs Jina Embeddings and Reranker](https://www.anchorterminal.com/compare/gemini-embedding-vs-jina-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 Mistral Embed and Codestral Embed](https://www.anchorterminal.com/compare/jina-embeddings-vs-mistral-embeddings.md) - [Jina Embeddings and Reranker vs OpenAI embeddings](https://www.anchorterminal.com/compare/jina-embeddings-vs-openai-embeddings.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 Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/mistral-embeddings-vs-voyage-ai.md) - [OpenAI embeddings vs Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/openai-embeddings-vs-voyage-ai.md) - [Voyage AI embeddings and rerankers vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/voyage-ai-vs-zeroentropy.md)