Mistral Embed

https://mistral.ai/news/mistral-embed

Mistral AI's hosted embedding API — mistral-embed; available via Mistral La Plateforme and Azure AI.

Active · Verified 2026-10-27 · fresh as of 2026-10-27 · 20 cited facts, 1 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T2
Created
2024 vendor fix
Freshness
2026-10-27 fix
Layer
model-infra repo fix
Licensing
commercial repo fix
Deployment locus
cloud vendor fix
Platform vs product
platform vendor fix
SDK languages
python, rest, typescript vendor fix

When to use

Optimised for: searched not found

Anti-fit: searched not found

Pros & cons

Pros

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Cons

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Claims & capabilities

Mistral total funding ~€1.5B; valued ~€5.8B (2024).

Technical surface

API surface
REST API (/v1/embeddings, /v1/batch), Python SDK, TypeScript SDK
Backend storage
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Deployment
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Embedding model
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Multi-tenancy
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MCP
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A2A
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OpenTelemetry
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Similar systems

Other embedding & reranker services in the catalog, ranked by inbound references.

  • Voyage AI (MongoDB) T1

    Specialised embedding and reranker provider — voyage-3, voyage-multilingual, voyage-finance, voyage-law, voyage-code. Acquired by MongoDB Feb 2025 for $220M.

  • Cohere Embed T1

    Cohere's hosted embedding models, now Embed 5 (2026-09-30; Pro and Fast tiers): text, image and fused text-plus-image inputs, 100+ languages, 128K-token context, Matryoshka output dimensions from 256 to 2048 with float, int8 and binary formats. Reranker API (Rerank 5).

  • Jina AI Embeddings T1

    Jina AI's embedding family — jina-embeddings-v3 (multilingual), jina-clip-v2 (text+image), jina-colbert-v2. Open-weights + hosted API + ColBERT-style.

  • OpenAI Embeddings T1

    OpenAI's hosted embedding API — text-embedding-3-small, text-embedding-3-large. Most widely used commercial embedding API in OSS RAG/memory stacks.

  • Hugging Face Inference API (Embeddings) T1

    HF's hosted Inference API and Inference Endpoints — serve any model from the Hub including the BGE/GTE/E5 embedding families.

  • Sentence Transformers T1

    Reimers & Gurevych's library for training sentence embeddings — substrate under most open-weight embedding models. Now under Hugging Face.

Sources (19 cited facts, 1 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-27
    • License first recorded as “proprietary; SDK Apache-2.0” source
    • Latest release first recorded as “v3.5.0 (2026-10-25) — mistralai (PyPI)” source
    • Pricing first recorded as “mistral-embed $0.10 per 1M tokens; Codestral Embed $0.15 per 1M tokens; batch API 50% cheaper” source
    #274

Related systems

References (1)

Referenced by (7)

  • Chroma integrates with — Chroma's docs have a Mistral Embed integration page. (verified 2026-10-29)
  • LangChain (framework) integrates with — LangChain docs have a MistralAI embeddings integration page (MistralAIEmbeddings). (verified 2026-10-29)
  • Langflow integrates with — Langflow components bundle: MistralAI embeddings component. (verified 2026-10-29)
  • LlamaIndex (framework) integrates with — LlamaIndex has an official embeddings integration package llama-index-embeddings-mistralai in its repo. (verified 2026-10-29)
  • n8n (AI agent flows) integrates with — n8n built-in AI cluster node: Embeddings Mistral Cloud node. (verified 2026-10-29)
  • Phidata (now Agno) integrates with — Agno ships a mistral embedder (agno.knowledge.embedder.mistral). (verified 2026-10-29)
  • Qdrant integrates with — Qdrant's documentation has a Mistral Embed integration page. (verified 2026-10-29)