Skip to content
Model infoModelsSnapshot: 15 Oct 2026

Mistral AI / Codestral Embed

Codestral Embed

Embeddings for code retrieval and similarity search.

availableClosed weightsEmbeddings
Official documentation (opens in a new tab)Reviewed 12 Oct 2026
8 of 18 specification fields collected
Context window8K8,000 tokens
Maximum outputNot collectedAwaiting source review
Input billingSee ratesMistral AI API
Output billingSee ratesPublished units and conditions below

Specifications

Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.

Context / input limit
8,000 tokensSource for Context / input limit (opens in a new tab)

As displayed on the release card; decimal k converted to tokens.

Maximum output
Not collected
Reasoning
Not collected
Tool calling
Not collected
Structured output
Not collected
Streaming
Not collected
Fine-tuning
Not collected
Knowledge cutoff
Not collected
Parameters
Not collected
Architecture
Not collected
Languages
Not collected
Supported API routes
/v1/embeddings, /v1/batchSource for Supported API routes (opens in a new tab)
API aliases
codestral-embedSource for API aliases (opens in a new tab)

Aliases shown on this release card at review time; routing can change.

Context caching
SupportedSource for Context caching (opens in a new tab)

Documented on at least one recorded endpoint. See Caching for host, lifecycle and billing restrictions.

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

API model ID
codestral-embed-2505
Access
API account required; quotas and regional availability depend on configuration.
Regions
Not collected

Prices retain their published currencies and billing units below.

Published billing units · original currency · observed 12 Oct 2026
CategoryUsageRateUnit
EmbeddingsInput1$0.151M tokens
Cached inputCache read2$0.0151M tokens

Rate conditions

  1. Standard USD rate from the release card. Each unit is billed separately; do not combine page, audio and token rates.
  2. Published standard USD cached-input rate. Regional and priority modifiers are not included. Caching mechanics for specialist APIs require confirmation.
Pricing source (opens in a new tab)Pricing source (opens in a new tab)

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

Caching

Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.

01 / INITIAL INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

Mistral AI API

codestral-embed-2505
Documented
Support evidence (opens in a new tab)
How it works
Not collected

Cached billing is listed, but the specialist endpoint’s controls and retention require verification. Chat cache parameters are not assumed.

Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
The current pricing table lists a cached-input rate. Native billing units are retained below; do not convert pages or minutes into token prices.Source for Billing rules (opens in a new tab)
Limits & data boundaries
Not collected
Cache reads, writes & storage
ChargeApplies toRate / unit
Cache read1Cached input$0.015 / 1M tokensPricing evidence (opens in a new tab)

Rate conditions

  1. Published standard USD cached-input rate. Regional and priority modifiers are not included. Caching mechanics for specialist APIs require confirmation.

Observed 12 Oct 2026. Write rates and storage fees are different charges; use the billing rules above.

Caching reviewed 12 Oct 2026

What the measurements say

No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.

Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.

The record behind the model

Why it is included

This exact release is labeled Premier and provides no public weights on its official model card. Releases with MRL/MNPL weight downloads are excluded separately, even when the internal catalog also calls them Premier.

Classification evidence (opens in a new tab)

Sources reviewed