DeepSeek R1-0528vsNemotron 3.5 Lightning
DeepSeek R1-0528 | 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. | $0.50DeepInfra | $0.08DeepInfra |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $2.15DeepInfra | $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. | 8% | — |
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 28 2025 | Aug 11 2026 |
| Access | Open Weight | Open Source |
Other comparisons
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Frequently asked questions
DeepSeek R1-0528 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 R1-0528 shipped 440 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
DeepSeek R1-0528 is open weight, while Nemotron 3.5 Lightning is open source.
Direct benchmark comparisons are unavailable — DeepSeek R1-0528 and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks.
DeepSeek R1-0528 was released by DeepSeek on May 28 2025.
Nemotron 3.5 Lightning was released by NVIDIA on Aug 11 2026.
DeepSeek R1-0528 is an open weight model released by DeepSeek. Nemotron 3.5 Lightning is an open source model released by NVIDIA.