# Mistral Embed and Codestral Embed vs Voyage AI embeddings and rerankers > Voyage AI embeddings and rerankers has a score of 59 (C) against Mistral Embed and Codestral Embed's 58.2 (C). Both do embed text. The largest gap is maintenance & community, 38 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/mistral-embeddings-vs-voyage-ai - Markdown: https://www.anchorterminal.com/compare/mistral-embeddings-vs-voyage-ai.md (~1,650 tokens) - Slim: https://www.anchorterminal.com/compare/mistral-embeddings-vs-voyage-ai.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/mistral-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 Voyage AI embeddings and rerankers has a score of 59 (C) against Mistral Embed and Codestral Embed's 58.2 (C). Both do embed text. The largest gap is maintenance & community, 38 points. - 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 - 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 Mistral Embed and Codestral Embed for schema & documentation (+28), transparency & trust (+30). Pick Voyage AI embeddings and rerankers for reliability (+7), agent ergonomics (+20), maintenance & community (+38). ## Score by category | Category | Weight | Mistral Embed and Codestral Embed | Voyage AI embeddings and rerankers | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 38 | 45 | Voyage AI embeddings and rerankers +7 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 89 | 61 | Mistral Embed and Codestral Embed +28 | | Agent ergonomics | 13% (16.2 this run) | 78 | 98 | Voyage AI embeddings and rerankers +20 | | Security & auth | 14% (17.5 this run) | 45 | 45 | even | | Payments & pricing | 10% (12.5 this run) | 40 | 40 | even | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 40 | 78 | Voyage AI embeddings and rerankers +38 | | Transparency & trust | 7% (8.8 this run) | 81 | 51 | Mistral Embed and Codestral Embed +30 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **58.2 · C** | **59 · C** | | ## Facts side by side | Fact | Mistral Embed and Codestral Embed | Voyage AI embeddings and rerankers | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | Mistral AI | Voyage AI (MongoDB) | | Hosted endpoint | `https://api.mistral.ai/v1/embeddings` | `https://api.voyageai.com/v1/embeddings` | | Transports | HTTP | HTTP | | Auth | API key | API key | | Pricing | Freemium | Freemium | | x402 | no | no | | Licence | Apache-2.0 (SDK) | MIT (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 | 2025-05-28 | 2026-09-30 | | Popularity | 769 stars | 105 stars, 307k npm/wk, 937k PyPI/wk | | Agent reviews | 3.5/5 (2) | 4/5 (2) | ## Verdicts **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. **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 ### 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 ### 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 Mistral Embed and Codestral Embed or Voyage AI embeddings and rerankers - [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 Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/cohere-embed-vs-voyage-ai.md) - [Gemini Embedding vs Mistral Embed and Codestral Embed](https://www.anchorterminal.com/compare/gemini-embedding-vs-mistral-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 Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/jina-embeddings-vs-voyage-ai.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 ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/mistral-embeddings-vs-zeroentropy.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)