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.
24B314B
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.
128k8k
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.
$0.075DeepInfra—
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.20DeepInfra—
$25.00DeepInfra · fp8—
Overview
CompanyMistralSpaceXSI
Release dateJun 20 2025Nov 3 2023
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Mistral Small 3.2vsClaude Haiku 5.5Grok‑1vsClaude Haiku 5.5Mistral Small 3.2vsGPT-6.1 SolGrok‑1vsGPT-6.1 SolMistral Small 3.2vsGemini 4 ArgonGrok‑1vsGemini 4 ArgonMistral Small 3.2vsMuse Spark OpenGrok‑1vsMuse Spark OpenMistral Small 3.2vsDeepSeek-V4.1-Flash-1017Grok‑1vsDeepSeek-V4.1-Flash-1017Mistral Small 3.2vsKimi K3Grok‑1vsKimi K3

Frequently asked questions

Mistral Small 3.2 and Grok‑1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Grok‑1 shipped 595 days before Mistral Small 3.2, so benchmark comparisons should account for the intervening progress.

Mistral Small 3.2 has 24B parameters, while Grok‑1 has 314B. Context windows are 128k (Mistral Small 3.2) vs 8k (Grok‑1).

Direct benchmark comparisons are unavailable — Mistral Small 3.2 and Grok‑1 don't publish scores on any of the same benchmarks.