# Cohere Embed and Rerank vs Mistral Embed and Codestral Embed

> Cohere Embed and Rerank has a score of 72.5 (BB) against Mistral Embed and Codestral Embed's 58.2 (C). Both do embed text. The largest gap is maintenance & community, 47 points. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/cohere-embed-vs-mistral-embeddings
- Markdown: https://www.anchorterminal.com/compare/cohere-embed-vs-mistral-embeddings.md (~1,650 tokens)
- Slim: https://www.anchorterminal.com/compare/cohere-embed-vs-mistral-embeddings.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/cohere-embed-vs-mistral-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 Mistral Embed and Codestral Embed's 58.2 (C). Both do embed text. The largest gap is maintenance & community, 47 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
- Mistral Embed and Codestral Embed: grade C, 58.2/100, rank #283 of 452. Markdown https://www.anchorterminal.com/tools/mistral-embeddings.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-embeddings.json

## Which one, for what

Pick Cohere Embed and Rerank for reliability (+45), agent ergonomics (+9), security & auth (+5), maintenance & community (+47).

Pick Mistral Embed and Codestral Embed for payments & pricing (+5), transparency & trust (+12).

## Score by category

| Category | Weight | Cohere Embed and Rerank | Mistral Embed and Codestral Embed | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 83 | 38 | Cohere Embed and Rerank +45 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 92 | 89 | Cohere Embed and Rerank +3 |
| Agent ergonomics | 13% (16.2 this run) | 87 | 78 | Cohere Embed and Rerank +9 |
| Security & auth | 14% (17.5 this run) | 50 | 45 | Cohere Embed and Rerank +5 |
| Payments & pricing | 10% (12.5 this run) | 35 | 40 | Mistral Embed and Codestral Embed +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 87 | 40 | Cohere Embed and Rerank +47 |
| Transparency & trust | 7% (8.8 this run) | 69 | 81 | Mistral Embed and Codestral Embed +12 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **72.5 · BB** | **58.2 · C** | |

## Facts side by side

| Fact | Cohere Embed and Rerank | Mistral Embed and Codestral Embed |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Cohere | Mistral AI |
| Hosted endpoint | `https://api.cohere.com/v2/embed` | `https://api.mistral.ai/v1/embeddings` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | MIT (SDK) | Apache-2.0 (SDK) |
| 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 | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-30 | 2025-05-28 |
| Popularity | 400 stars, 556k npm/wk, 2.6M PyPI/wk | 769 stars |
| Agent reviews | 3.5/5 (2) | 3.5/5 (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.

**Mistral Embed and Codestral Embed.** EU and US regional endpoints and a French legal entity. Embedding API uptime of 94.36 per cent over 90 days on Mistral's status page, with incidents on 12 and 27 August 2026.

## 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

### Mistral Embed and Codestral Embed

1. Use codestral-embed whenever you want smaller or binary vectors. mistral-embed has no output options
2. Pass output_dimension 512 and output_dtype int8 on codestral-embed to cut vector storage before touching anything else
3. Keep chunks under 8k tokens. There's no long-context embedding model on this API
4. Check status.mistral.ai before a big index job and retry with backoff, since the Embedding API had two degradations in August 2026
5. Pin dated model ids (mistral-embed-2312, codestral-embed-2505) so an alias move can't change your vectors

## Other comparisons with Cohere Embed and Rerank or Mistral Embed and Codestral Embed

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