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.
5.1B/8B/26B/31B2.8T
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.
—1M
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.
$0.042Darkbloom—
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.22Darkbloom—
$19.40Darkbloom—
These models have no shared benchmark scores.
Overview
CompanyGoogleMoonshot AI
Release dateApr 2 2026Oct 23 2026
AccessOpen WeightClosed
Model detailsView modelView model

Frequently asked questions

Gemma 4 and Kimi K3.1 Pro Highspeed don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemma 4 shipped 204 days before Kimi K3.1 Pro Highspeed, so benchmark comparisons should account for the intervening progress.

Gemma 4 has 5.1B/8B/26B/31B parameters, while Kimi K3.1 Pro Highspeed has 2.8T. Gemma 4 is open weight, while Kimi K3.1 Pro Highspeed is closed.

Direct benchmark comparisons are unavailable — Gemma 4 and Kimi K3.1 Pro Highspeed don't publish scores on any of the same benchmarks.