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.
1B/3B/11B/90B—
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.
128k200k
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.
$0.027Cloudflare$1.10OpenAI
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.201Cloudflare$4.40OpenAI
$15.45Cloudflare$440OpenAI
Overview
CompanyMetaOpenAI
Release dateSep 25 2024Apr 16 2025
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

LLaMA 3.2vsClaude Haiku 5.5o4-mini-highvsClaude Haiku 5.5LLaMA 3.2vsGemini 4 Argono4-mini-highvsGemini 4 ArgonLLaMA 3.2vsGrok 4.7o4-mini-highvsGrok 4.7LLaMA 3.2vsDeepSeek-V4.1-Flash-1017o4-mini-highvsDeepSeek-V4.1-Flash-1017LLaMA 3.2vsMistral Large 4o4-mini-highvsMistral Large 4LLaMA 3.2vsKimi K3o4-mini-highvsKimi K3

Frequently asked questions

LLaMA 3.2 and o4-mini-high don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 3.2 shipped 203 days before o4-mini-high, so benchmark comparisons should account for the intervening progress.

Context windows are 128k (LLaMA 3.2) vs 200k (o4-mini-high). LLaMA 3.2 is open weight, while o4-mini-high is closed.

Direct benchmark comparisons are unavailable — LLaMA 3.2 and o4-mini-high don't publish scores on any of the same benchmarks.