Magistral Medium 1.2: context, capabilities and where to run it
Prices from official vendor price lists · October 2026
Mistral AI does not publish a token price for this model, so cost depends on where it is hosted. Recorded here for free tier.
Capabilities
Context window
128K tokens
Price / mo
API only
Magistral Medium 1.2 is an AI model from Mistral AI. The vendor does not publish a public per-token price, so the cost cells are left empty rather than guessed.
It holds 128K tokens in a single conversation. Capabilities recorded in this rating: text & chat, structured JSON output, prompt caching, batch API, free tier. Access is through the API rather than a consumer subscription.
API priceNot publishedper 1M tokens, in / out
Context128K tokenstokens per conversation
VendorMistral AIall models from this vendor
TierUnpricedno public rate card
Compared with alternatives
How Magistral Medium 1.2 sits against its neighbours in this rating. Tap a card to open that model.
Good and poor fit
Good fit
- General text generation and conversation across languages.
Poor fit
- Anything requiring image input — this model does not accept it.
- Integrations that depend on structured function calls.
Related filters
Text & chat234 models for text generation and chat
Prompt caching153 models with cheap repeated context
Batch API146 models with half-price async processing
Free tier86 models with a free API allowance
MultilingualAll 245 models work beyond English
Mistral AI11 models from this vendor
All 245 modelsThe full rating with filters and prices
Frequently asked questions
How much does Magistral Medium 1.2 cost?
Mistral AI does not publish a public per-token rate for this model, so the price cells here are empty rather than estimated.
What is the context window of Magistral Medium 1.2?
128K tokens in a single conversation.
What can Magistral Medium 1.2 do?
In this rating it is recorded with: text & chat, structured JSON output, prompt caching, batch API, free tier, multilingual, proprietary API.
Is Magistral Medium 1.2 a good choice?
It depends on the job. See the good-fit and poor-fit lists above, and compare against the neighbouring models before committing.
Frequently searched
By capabilityReasoningCodingVisionLong context 1M+Free tierOpen weightsLow latencyRealtime voiceImage generation
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