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Specifications
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality.
24B—
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider.
40k400k
API pricingUSD per 1M tokens · lower wins
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page.
—$1.25Azure
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$10.00Azure
—$750Azure
Overview
CompanyMistralOpenAI
Release dateJun 10 2025Nov 19 2025
AccessClosedClosed
Model detailsView modelView model

Other comparisons

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Frequently asked questions

Magistral Small and GPT-5.1-Codex-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Magistral Small shipped 162 days before GPT-5.1-Codex-Max, so benchmark comparisons should account for the intervening progress.

Context windows are 40k (Magistral Small) vs 400k (GPT-5.1-Codex-Max).

Direct benchmark comparisons are unavailable — Magistral Small and GPT-5.1-Codex-Max don't publish scores on any of the same benchmarks.