Nemotron 3.5 LightningvsGPT-5.4 mini
Nemotron 3.5 Lightning | GPT-5.4 mini | |
|---|---|---|
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | 30B | — |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | 1M | 400k |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $0.75 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | — | $4.50 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | — | $0.075 |
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | — | $0.75Azure |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $4.50Azure |
| BenchmarksPublished by one model only | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | — | 32% |
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 51.6% | — |
Supabase Evals · with skillsSupabase coding — Supabase's own open benchmark: a coding agent is dropped into a real Supabase project and asked to do real work — set up a schema, fix a broken security policy, debug an Edge Function — and every run is checked against a live Supabase stack. This is the headline number, where the agent has Supabase's own skills loaded, as most people building on Supabase would. The score is the share of scenarios it got right. Higher is better. | — | 81.8% |
Supabase Evals · no skillsSupabase coding — The same Supabase scenarios, but with none of Supabase's skills loaded — so it measures what the model already knows about building on Supabase, rather than how well it follows Supabase's supplied instructions. Higher is better. | — | 63.6% |
BU BenchBrowser agent — Can the AI drive a real web browser to finish tasks — clicking, filling forms, and navigating sites the way a person would? Run by Browser Use on their BU Bench task set. Higher is better. | — | 36% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 75.4% | — |
| Overview | ||
| Company | NVIDIA | OpenAI |
| Release date | Aug 11 2026 | Mar 17 2026 |
| Access | Open Source | Proprietary |
Other comparisons
Frequently asked questions
Nemotron 3.5 Lightning and GPT-5.4 mini don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only GPT-5.4 mini has a verified first-party API price: $0.75 per million input tokens and $4.50 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron 3.5 Lightning. GPT-5.4 mini shipped 147 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Nemotron 3.5 Lightning) vs 400k (GPT-5.4 mini). Nemotron 3.5 Lightning is open source, while GPT-5.4 mini is proprietary.
Direct benchmark comparisons are unavailable — Nemotron 3.5 Lightning and GPT-5.4 mini don't publish scores on any of the same benchmarks.
Nemotron 3.5 Lightning was released by NVIDIA on Aug 11 2026.
GPT-5.4 mini was released by OpenAI on Mar 17 2026.
Only GPT-5.4 mini has a verified first-party API price: $0.75 per million input tokens and $4.50 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron 3.5 Lightning. Rates are pay-as-you-go API prices verified on August 18, 2026.
Nemotron 3.5 Lightning has a 1M context window; GPT-5.4 mini has 400k.
Nemotron 3.5 Lightning is an open source model released by NVIDIA. GPT-5.4 mini is a proprietary model released by OpenAI.