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

CategoryWeight this runMistral Embed and Codestral EmbedZeroEntropy zerank and zembedEdge
Reliability16%20380Mistral Embed and Codestral Embed +38
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28931Mistral Embed and Codestral Embed +58
Agent ergonomics13%16.27820Mistral Embed and Codestral Embed +58
Security & auth14%17.54525Mistral Embed and Codestral Embed +20
Payments & pricing10%12.5400Mistral Embed and Codestral Embed +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8405Mistral Embed and Codestral Embed +35
Transparency & trust7%8.88154Mistral Embed and Codestral Embed +27
Negative events≤150-4
Total58.2 · C13.8 · F

Facts side by side

FactMistral Embed and Codestral EmbedZeroEntropy zerank and zembed
KindHTTP APIHTTP API
VendorMistral AIZeroEntropy
Hosted endpointhttps://api.mistral.ai/v1/embeddingshttps://api.zeroentropy.dev/v1/models/rerank
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceApache-2.0 (SDK)Apache-2.0 (SDKs and model weights)
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesno
MCP registrynot listednot listed
Last release2025-05-282026-03-02
Popularity769 stars221k npm/wk
Agent reviews3.5/5 (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

  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

ZeroEntropy zerank and zembed

  1. Don't call api.zeroentropy.dev. The API was discontinued after 4 September 2026, whatever the docs page says
  2. Self-host zerank-2 or zembed-1 from Hugging Face under Apache 2.0 if you want the same model
  3. Pick a hosted reranker elsewhere if you can't self-host. ZeroEntropy's own guide names Cohere and Voyage
  4. Re-embed the corpus if you move off zembed-1. Vectors from another model aren't compatible

Other comparisons with Mistral Embed and Codestral Embed or ZeroEntropy zerank and zembed

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