AI Model Release Tracker

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.
7B/13B/34B—
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.
16k128k
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.
—$0.40Mistral
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$2.00Mistral
—$180Mistral · zdr
Overview
CompanyMetaMistral
Release dateAug 24 2023May 7 2025
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

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Frequently asked questions

Code Llama and Mistral Medium 3 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama shipped 622 days before Mistral Medium 3, so benchmark comparisons should account for the intervening progress.

Context windows are 16k (Code Llama) vs 128k (Mistral Medium 3). Code Llama is open weight, while Mistral Medium 3 is closed.

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