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.
22B119B
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.
32k256k
API pricingUSD per 1M tokens · lower wins
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
—$0.15
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one.
—$0.60
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.
—$0.15Mistral
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$0.60Mistral
—$60.00Mistral list price
These models have no shared benchmark scores.
Overview
CompanyMistralMistral
Release dateMay 29 2024Mar 16 2026
AccessClosedClosed
Model detailsView modelView model

Frequently asked questions

Codestral 22B and Mistral Small 4 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Mistral Small 4 has a verified first-party API price: $0.15 per million input tokens and $0.60 per million output tokens. No pay-as-you-go API rate is tracked for Codestral 22B. Codestral 22B shipped 656 days before Mistral Small 4, so benchmark comparisons should account for the intervening progress.

Codestral 22B has 22B parameters, while Mistral Small 4 has 119B. Context windows are 32k (Codestral 22B) vs 256k (Mistral Small 4).

Direct benchmark comparisons are unavailable — Codestral 22B and Mistral Small 4 don't publish scores on any of the same benchmarks.