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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.
47B—
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.
32k200k
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 dateDec 8 2023Jan 31 2025
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

Mixtral 8×7BvsClaude Haiku 5.5o3-mini-highvsClaude Haiku 5.5Mixtral 8×7BvsGemini 4 Argono3-mini-highvsGemini 4 ArgonMixtral 8×7BvsMuse Spark Openo3-mini-highvsMuse Spark OpenMixtral 8×7BvsGrok 4.7o3-mini-highvsGrok 4.7Mixtral 8×7BvsDeepSeek-V4.1-Flash-1017o3-mini-highvsDeepSeek-V4.1-Flash-1017Mixtral 8×7BvsKimi K3o3-mini-highvsKimi K3

Frequently asked questions

Mixtral 8×7B and o3-mini-high don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mixtral 8×7B shipped 420 days before o3-mini-high, so benchmark comparisons should account for the intervening progress.

Context windows are 32k (Mixtral 8×7B) vs 200k (o3-mini-high). Mixtral 8×7B is open weight, while o3-mini-high is closed.

Direct benchmark comparisons are unavailable — Mixtral 8×7B and o3-mini-high don't publish scores on any of the same benchmarks.