DeepSeek V2vsNemotron 3.5 Lightning
DeepSeek V2 | 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 | ||
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 | ||
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 | DeepSeek | NVIDIA |
| Release date | May 6 2024 | Aug 11 2026 |
| Access | Open Weight | Open Source |
Other comparisons
DeepSeek V2vsClaude Fable 5.1Nemotron 3.5 LightningvsClaude Fable 5.1DeepSeek V2vsGPT-6 AstraNemotron 3.5 LightningvsGPT-6 AstraDeepSeek V2vsGemini 3.8 FlashNemotron 3.5 LightningvsGemini 3.8 FlashDeepSeek V2vsMuse Spark 1.3Nemotron 3.5 LightningvsMuse Spark 1.3DeepSeek V2vsGrok 4.6Nemotron 3.5 LightningvsGrok 4.6DeepSeek V2vsMistral Medium 3.5Nemotron 3.5 LightningvsMistral Medium 3.5
Frequently asked questions
DeepSeek V2 and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V2 shipped 827 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
DeepSeek V2 is open weight, while Nemotron 3.5 Lightning is open source.
Direct benchmark comparisons are unavailable — DeepSeek V2 and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks.
DeepSeek V2 was released by DeepSeek on May 6 2024.
Nemotron 3.5 Lightning was released by NVIDIA on Aug 11 2026.
DeepSeek V2 is an open weight model released by DeepSeek. Nemotron 3.5 Lightning is an open source model released by NVIDIA.