AI Model Release Tracker

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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.
12B—
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.
—$1.10OpenAI
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$4.40OpenAI
—$440OpenAI
Overview
CompanyMistralOpenAI
Release dateSep 11 2024Apr 16 2025
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

Pixtral 24.09vsClaude Haiku 5.5o4-mini-highvsClaude Haiku 5.5Pixtral 24.09vsGemini 4 Argono4-mini-highvsGemini 4 ArgonPixtral 24.09vsMuse Spark Openo4-mini-highvsMuse Spark OpenPixtral 24.09vsGrok 4.7o4-mini-highvsGrok 4.7Pixtral 24.09vsDeepSeek-V4.1-Flash-1017o4-mini-highvsDeepSeek-V4.1-Flash-1017Pixtral 24.09vsKimi K3o4-mini-highvsKimi K3

Frequently asked questions

Pixtral 24.09 and o4-mini-high don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Pixtral 24.09 shipped 217 days before o4-mini-high, so benchmark comparisons should account for the intervening progress.

Context windows are 128k (Pixtral 24.09) vs 200k (o4-mini-high). Pixtral 24.09 is open weight, while o4-mini-high is closed.

Direct benchmark comparisons are unavailable — Pixtral 24.09 and o4-mini-high don't publish scores on any of the same benchmarks.