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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.
340B—
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.
4k200k
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
CompanyNVIDIAOpenAI
Release dateJun 14 2024Apr 16 2025
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

Nemotron-4 340BvsClaude Haiku 5.5o4-mini-highvsClaude Haiku 5.5Nemotron-4 340BvsGemini 4 Argono4-mini-highvsGemini 4 ArgonNemotron-4 340BvsMuse Spark Openo4-mini-highvsMuse Spark OpenNemotron-4 340BvsGrok 4.7o4-mini-highvsGrok 4.7Nemotron-4 340BvsDeepSeek-V4.1-Flash-1017o4-mini-highvsDeepSeek-V4.1-Flash-1017Nemotron-4 340BvsMistral Large 4o4-mini-highvsMistral Large 4

Frequently asked questions

Nemotron-4 340B and o4-mini-high don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Nemotron-4 340B shipped 306 days before o4-mini-high, so benchmark comparisons should account for the intervening progress.

Context windows are 4k (Nemotron-4 340B) vs 200k (o4-mini-high). Nemotron-4 340B is open weight, while o4-mini-high is closed.

Direct benchmark comparisons are unavailable — Nemotron-4 340B and o4-mini-high don't publish scores on any of the same benchmarks.