DeepSeek-MathvsNemotron 3.5 Lightning
DeepSeek-Math | 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 | Feb 5 2024 | Aug 11 2026 |
| Access | Open Weight | Open Source |
Other comparisons
DeepSeek-MathvsClaude Fable 5.1Nemotron 3.5 LightningvsClaude Fable 5.1DeepSeek-MathvsGPT-6 AstraNemotron 3.5 LightningvsGPT-6 AstraDeepSeek-MathvsGemini 3.8 FlashNemotron 3.5 LightningvsGemini 3.8 FlashDeepSeek-MathvsMuse Spark 1.3Nemotron 3.5 LightningvsMuse Spark 1.3DeepSeek-MathvsGrok 4.6Nemotron 3.5 LightningvsGrok 4.6DeepSeek-MathvsMistral Medium 3.5Nemotron 3.5 LightningvsMistral Medium 3.5
Frequently asked questions
DeepSeek-Math 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-Math shipped 918 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
DeepSeek-Math is open weight, while Nemotron 3.5 Lightning is open source.
Direct benchmark comparisons are unavailable — DeepSeek-Math and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks.
DeepSeek-Math was released by DeepSeek on Feb 5 2024.
Nemotron 3.5 Lightning was released by NVIDIA on Aug 11 2026.
DeepSeek-Math is an open weight model released by DeepSeek. Nemotron 3.5 Lightning is an open source model released by NVIDIA.