DeepSeek-V4-ProvsNemotron 3 Nano
DeepSeek-V4-Pro | Nemotron 3 Nano | |
|---|---|---|
| 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 |
| 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. | $0.792GMICloud | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $1.74DigitalOcean | — |
| Benchmarks | ||
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | 93.5% | 68.3% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 90.1% | 73% |
| 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. | 14% | — |
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? Higher is better. | 83.4% | — |
| Overview | ||
| Company | DeepSeek | NVIDIA |
| Release date | Apr 24 2026 | Dec 15 2025 |
| Access | Open Weight | Open Source |
Other comparisons
Frequently asked questions
DeepSeek-V4-Pro leads Nemotron 3 Nano on 2 of the 2 benchmarks they both report (LiveCodeBench, GPQA Diamond). Nemotron 3 Nano shipped 130 days before DeepSeek-V4-Pro, so benchmark comparisons should account for the intervening progress.
DeepSeek-V4-Pro is open weight, while Nemotron 3 Nano is open source.
On LiveCodeBench, DeepSeek-V4-Pro leads at 93.5% vs Nemotron 3 Nano at 68.3%. On GPQA Diamond, DeepSeek-V4-Pro leads at 90.1% vs Nemotron 3 Nano at 73%.
DeepSeek-V4-Pro was released by DeepSeek on Apr 24 2026.
Nemotron 3 Nano was released by NVIDIA on Dec 15 2025.
DeepSeek-V4-Pro leads on LiveCodeBench — DeepSeek-V4-Pro 93.5% vs Nemotron 3 Nano 68.3%.
DeepSeek-V4-Pro leads on GPQA Diamond — DeepSeek-V4-Pro 90.1% vs Nemotron 3 Nano 73%.
DeepSeek-V4-Pro is an open weight model released by DeepSeek. Nemotron 3 Nano is an open source model released by NVIDIA.