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.
109B—
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.
10M128k
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.
$0.08DeepInfra—
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.24DeepInfra—
$35.00DeepInfra · fp8—
These models have no shared benchmark scores.
Overview
CompanyMetaSpaceXSI
Release dateApr 5 2025Feb 17 2025
AccessOpen WeightClosed
Model detailsView modelView model

Frequently asked questions

LLaMA 4 Scout and Grok 3 mini don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Grok 3 mini shipped 47 days before LLaMA 4 Scout, so benchmark comparisons should account for the intervening progress.

Context windows are 10M (LLaMA 4 Scout) vs 128k (Grok 3 mini). LLaMA 4 Scout is open weight, while Grok 3 mini is closed.

Direct benchmark comparisons are unavailable — LLaMA 4 Scout and Grok 3 mini don't publish scores on any of the same benchmarks.