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/31B24B
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.
256k32k
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$0.05DeepInfra
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.18Makora$0.08DeepInfra
$19.40Darkbloom$14.00DeepInfra · fp8
These models have no shared benchmark scores.
Overview
CompanyGoogleMistral
Release dateApr 2 2026Jan 30 2025
AccessOpen WeightOpen Weight
Model detailsView modelView model

Frequently asked questions

Gemma 4 and Mistral Small 3 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Small 3 shipped 427 days before Gemma 4, so benchmark comparisons should account for the intervening progress.

Gemma 4 has 5.1B/8B/26B/31B parameters, while Mistral Small 3 has 24B. Context windows are 256k (Gemma 4) vs 32k (Mistral Small 3).

Direct benchmark comparisons are unavailable — Gemma 4 and Mistral Small 3 don't publish scores on any of the same benchmarks.