Gemini 3.1 Flash-LitevsNemotron 3.5 Lightning
Gemini 3.1 Flash-Lite | Nemotron 3.5 Lightning | |
|---|---|---|
| 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 |
| 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. | $0.25 | — |
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. | $1.50 | — |
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. | $0.025 | — |
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. | — | $0.08DeepInfra |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $0.20DeepInfra |
| 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. | 11% | — |
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% |
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 | |
| Release date | Mar 3 2026 | Aug 11 2026 |
| Access | Proprietary | Open Source |
Other comparisons
Frequently asked questions
Gemini 3.1 Flash-Lite and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Gemini 3.1 Flash-Lite has a verified first-party API price: $0.25 per million input tokens and $1.50 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron 3.5 Lightning. Gemini 3.1 Flash-Lite shipped 161 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
Gemini 3.1 Flash-Lite is proprietary, while Nemotron 3.5 Lightning is open source.
Direct benchmark comparisons are unavailable — Gemini 3.1 Flash-Lite and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks.
Gemini 3.1 Flash-Lite was released by Google on Mar 3 2026.
Nemotron 3.5 Lightning was released by NVIDIA on Aug 11 2026.
Only Gemini 3.1 Flash-Lite has a verified first-party API price: $0.25 per million input tokens and $1.50 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.
Gemini 3.1 Flash-Lite is a proprietary model released by Google. Nemotron 3.5 Lightning is an open source model released by NVIDIA.