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/34B24B
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.
16k32k
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
CompanyMetaMistral
Release dateAug 24 2023Jan 30 2025
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

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Frequently asked questions

Code Llama and Mistral Small 3 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama shipped 525 days before Mistral Small 3, so benchmark comparisons should account for the intervening progress.

Code Llama has 7B/13B/34B parameters, while Mistral Small 3 has 24B. Context windows are 16k (Code Llama) vs 32k (Mistral Small 3).

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