Compare AI models
| 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. | — | 30B |
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. | 1M | 1M |
| 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. | — | $0.025Darkbloom |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $0.12Darkbloom |
| — | $11.00Darkbloom · int4 | |
| These models have no shared benchmark scores. | ||
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. | 15% | — |
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 | Jan 30 2025 | Aug 11 2026 |
| Access | Closed | Open Source |
| Model details | View model | View model |
Other comparisons
Gemini 2.0 FlashvsClaude Haiku 5.5Nemotron 3.5 LightningvsClaude Haiku 5.5Gemini 2.0 FlashvsGPT-6.1 SolNemotron 3.5 LightningvsGPT-6.1 SolGemini 2.0 FlashvsMuse Spark OpenNemotron 3.5 LightningvsMuse Spark OpenGemini 2.0 FlashvsGrok 4.7Nemotron 3.5 LightningvsGrok 4.7Gemini 2.0 FlashvsDeepSeek-V4.1-Flash-1017Nemotron 3.5 LightningvsDeepSeek-V4.1-Flash-1017Gemini 2.0 FlashvsMistral Large 4Nemotron 3.5 LightningvsMistral Large 4Frequently asked questions
Gemini 2.0 Flash and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 2.0 Flash shipped 558 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 2.0 Flash) vs 1M (Nemotron 3.5 Lightning). Gemini 2.0 Flash is closed, while Nemotron 3.5 Lightning is open source.
Direct benchmark comparisons are unavailable — Gemini 2.0 Flash and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks.