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Model infoModelsSnapshot: 15 Oct 2026

Mistral AI / Magistral Medium

Magistral Medium 1.2

Reasoning release with documented tool interfaces and migration information.

deprecatedClosed weightsReasoningText generation
Official documentation (opens in a new tab)Reviewed 12 Oct 2026
7 of 18 specification fields collected
Context window128K128,000 tokens
Maximum outputNot collectedAwaiting source review
Input billingNot collectedMistral AI API
Output billingNot collectedNo inferred price

Specifications

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

Context / input limit
128,000 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
Input modalities
Not collected
Output modalities
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/chat/completions, /v1/conversations, /v1/batchSource for Supported API routes (opens in a new tab)
API aliases
magistral-medium-latestSource for API aliases (opens in a new tab)

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

Context caching
Not collected

See endpoint caching records. No verified support claim for this model.

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
magistral-medium-2509
Access
Deprecated. Review the provider lifecycle notice before use.
Regions
Not collected

Endpoint pricing has not been collected. Check the provider for applicable rates.

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

magistral-medium-2509
Not verified

Provider-side caching has not been verified for this endpoint. Missing documentation is not evidence that caching is unsupported.

How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

No verified cache rate for this endpoint. An empty rate is not a zero charge.

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)

Lifecycle dates

Deprecated21 May 2026Source (opens in a new tab)

Sources reviewed