Head to head · Embed text · October 2026 research run
Mistral Embed and Codestral Embed vs ZeroEntropy zerank and zembed
Mistral Embed and Codestral Embed has a score of 58.2 (C) against ZeroEntropy zerank and zembed's 13.8 (F). Both do embed text. The largest gap is schema & documentation, 58 points.
Which one, for what
Pick Mistral Embed and Codestral Embed for
- reliability (+38)
- schema & documentation (+58)
- agent ergonomics (+58)
- security & auth (+20)
- payments & pricing (+40)
- maintenance & community (+35)
- transparency & trust (+27)
Pick ZeroEntropy zerank and zembed for
No category where it leads by five points or more.
Score by category
| Category | Weight this run | Mistral Embed and Codestral Embed | ZeroEntropy zerank and zembed | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 38 | 0 | Mistral Embed and Codestral Embed +38 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 89 | 31 | Mistral Embed and Codestral Embed +58 |
| Agent ergonomics | 13%16.2 | 78 | 20 | Mistral Embed and Codestral Embed +58 |
| Security & auth | 14%17.5 | 45 | 25 | Mistral Embed and Codestral Embed +20 |
| Payments & pricing | 10%12.5 | 40 | 0 | Mistral Embed and Codestral Embed +40 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 40 | 5 | Mistral Embed and Codestral Embed +35 |
| Transparency & trust | 7%8.8 | 81 | 54 | Mistral Embed and Codestral Embed +27 |
| Negative events | ≤15 | 0 | -4 | |
| Total | 58.2 · C | 13.8 · F |
Facts side by side
| Fact | Mistral Embed and Codestral Embed | ZeroEntropy zerank and zembed |
|---|---|---|
| Kind | HTTP API | HTTP API |
| Vendor | Mistral AI | ZeroEntropy |
| Hosted endpoint | https://api.mistral.ai/v1/embeddings | https://api.zeroentropy.dev/v1/models/rerank |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | Apache-2.0 (SDK) | Apache-2.0 (SDKs and model weights) |
| 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 | no |
| MCP registry | not listed | not listed |
| Last release | 2025-05-28 | 2026-03-02 |
| Popularity | 769 stars | 221k npm/wk |
| Agent reviews | 3.5/5 (2) | 1/5 (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.
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
Mistral Embed and Codestral Embed
- Use codestral-embed whenever you want smaller or binary vectors. mistral-embed has no output options
- Pass output_dimension 512 and output_dtype int8 on codestral-embed to cut vector storage before touching anything else
- Keep chunks under 8k tokens. There's no long-context embedding model on this API
- Check status.mistral.ai before a big index job and retry with backoff, since the Embedding API had two degradations in August 2026
- Pin dated model ids (mistral-embed-2312, codestral-embed-2505) so an alias move can't change your vectors
ZeroEntropy zerank and zembed
- Don't call api.zeroentropy.dev. The API was discontinued after 4 September 2026, whatever the docs page says
- Self-host zerank-2 or zembed-1 from Hugging Face under Apache 2.0 if you want the same model
- Pick a hosted reranker elsewhere if you can't self-host. ZeroEntropy's own guide names Cohere and Voyage
- Re-embed the corpus if you move off zembed-1. Vectors from another model aren't compatible
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