Compare AI models

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.
40k32k
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.
—$0.05DeepInfra
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$0.08DeepInfra
—$14.00DeepInfra · fp8
Overview
CompanyMistralMistral
Release dateJun 10 2025Jan 30 2025
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

Magistral Medium and Mistral Small 3 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Small 3 shipped 131 days before Magistral Medium, so benchmark comparisons should account for the intervening progress.

Context windows are 40k (Magistral Medium) vs 32k (Mistral Small 3). Magistral Medium is closed, while Mistral Small 3 is open weight.

Direct benchmark comparisons are unavailable — Magistral Medium and Mistral Small 3 don't publish scores on any of the same benchmarks.