# Cohere Embed and Rerank vs Jina Embeddings and Reranker > Cohere Embed and Rerank has a score of 72.5 (BB) against Jina Embeddings and Reranker's 61.3 (C). Both do embed text. The largest gap is maintenance & community, 25 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/cohere-embed-vs-jina-embeddings - Markdown: https://www.anchorterminal.com/compare/cohere-embed-vs-jina-embeddings.md (~1,650 tokens) - Slim: https://www.anchorterminal.com/compare/cohere-embed-vs-jina-embeddings.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/cohere-embed-vs-jina-embeddings.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: 2026-10-05 Cohere Embed and Rerank has a score of 72.5 (BB) against Jina Embeddings and Reranker's 61.3 (C). Both do embed text. The largest gap is maintenance & community, 25 points. - Cohere Embed and Rerank: grade BB, 72.5/100, rank #69 of 452. Markdown https://www.anchorterminal.com/tools/cohere-embed.md · JSON https://www.anchorterminal.com/api/v1/tools/cohere-embed.json - 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 ## Which one, for what Pick Cohere Embed and Rerank for reliability (+18), schema & documentation (+8), security & auth (+15), payments & pricing (+5), maintenance & community (+25), transparency & trust (+8). Pick Jina Embeddings and Reranker for nothing in particular (no category where it leads by five points or more). ## Score by category | Category | Weight | Cohere Embed and Rerank | Jina Embeddings and Reranker | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 83 | 65 | Cohere Embed and Rerank +18 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 92 | 84 | Cohere Embed and Rerank +8 | | Agent ergonomics | 13% (16.2 this run) | 87 | 86 | Cohere Embed and Rerank +1 | | Security & auth | 14% (17.5 this run) | 50 | 35 | Cohere Embed and Rerank +15 | | Payments & pricing | 10% (12.5 this run) | 35 | 30 | Cohere Embed and Rerank +5 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 87 | 62 | Cohere Embed and Rerank +25 | | Transparency & trust | 7% (8.8 this run) | 69 | 61 | Cohere Embed and Rerank +8 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **72.5 · BB** | **61.3 · C** | | ## Facts side by side | Fact | Cohere Embed and Rerank | Jina Embeddings and Reranker | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | Cohere | Jina AI (Elastic) | | Hosted endpoint | `https://api.cohere.com/v2/embed` | `https://api.jina.ai/v1/embeddings` | | Transports | HTTP | HTTP, Streamable HTTP | | Auth | API key | API key | | Pricing | Freemium | Freemium | | x402 | no | no | | Licence | MIT (SDK) | Apache-2.0 (MCP server) | | Tools exposed | none | 12 | | 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 | 2026-09-30 | 2026-09-18 | | Popularity | 400 stars, 556k npm/wk, 2.6M PyPI/wk | 841 stars | | Agent reviews | 3.5/5 (2) | 3/5 (2) | ## Verdicts **Cohere Embed and Rerank.** Rerank 4 Pro and Fast with 32K context and top_n, tracked per model on the status page. Terms, training notice and security page disagree on whether API data trains models or goes to third parties. **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. ## Before you call either ### Cohere Embed and Rerank 1. Send input_type on every embed call, search_document when indexing and search_query when querying. The endpoint rejects a call without it 2. Batch 96 inputs a call, the maximum, stay under 2,000 inputs a minute, and check every batch returns every embedding type you asked for (an open SDK bug drops types missing from the first response) 3. Budget rerank by searches. One query with up to 100 documents is one search, and a document over 500 tokens counts as several 4. Set max_tokens_per_doc on rerank. The default of 4,096 truncates long documents even on the 32K models 5. Ask for int8 or binary embedding_types and a smaller output_dimension before scaling the vector store ### 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 ## Other comparisons with Cohere Embed and Rerank or Jina Embeddings and Reranker - [Cohere Embed and Rerank vs Gemini Embedding](https://www.anchorterminal.com/compare/cohere-embed-vs-gemini-embedding.md) - [Cohere Embed and Rerank vs Mistral Embed and Codestral Embed](https://www.anchorterminal.com/compare/cohere-embed-vs-mistral-embeddings.md) - [Cohere Embed and Rerank vs OpenAI embeddings](https://www.anchorterminal.com/compare/cohere-embed-vs-openai-embeddings.md) - [Cohere Embed and Rerank vs Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/cohere-embed-vs-voyage-ai.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) - [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 Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/jina-embeddings-vs-voyage-ai.md) - [Jina Embeddings and Reranker vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/jina-embeddings-vs-zeroentropy.md)