Compare AI models
| 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. | $0.259SiliconFlow | $0.05Crusoe |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.38DeepInfra | $0.20Crusoe |
| Benchmarks | ||
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. | 13% | 28% |
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. | — | 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. | — | 73% |
| Overview | ||
| Company | DeepSeek | NVIDIA |
| Release date | Dec 1 2025 | Dec 15 2025 |
| Access | Open Weight | Open Source |
| Model details | View model | View model |
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Nemotron 3 Nano leads DeepSeek-V3.2 on 1 of the 1 benchmark they both report (BullshitBench v2). DeepSeek-V3.2 shipped 14 days before Nemotron 3 Nano, so benchmark comparisons should account for the intervening progress.
DeepSeek-V3.2 is open weight, while Nemotron 3 Nano is open source.
On BullshitBench v2, Nemotron 3 Nano leads at 28% vs DeepSeek-V3.2 at 13%.