Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 236B | 9B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 128k | 128k |
| These models have no shared benchmark scores. | ||
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. | — | 5% |
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. | — | 71.1% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 64% |
| Overview | ||
| Company | DeepSeek | NVIDIA |
| Release date | Dec 10 2024 | Aug 18 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek V2.5 (Revised)vsClaude Haiku 5.5Nemotron Nano 2vsClaude Haiku 5.5DeepSeek V2.5 (Revised)vsGPT-6.1 SolNemotron Nano 2vsGPT-6.1 SolDeepSeek V2.5 (Revised)vsGemini 4 ArgonNemotron Nano 2vsGemini 4 ArgonDeepSeek V2.5 (Revised)vsMuse Spark OpenNemotron Nano 2vsMuse Spark OpenDeepSeek V2.5 (Revised)vsGrok 4.7Nemotron Nano 2vsGrok 4.7DeepSeek V2.5 (Revised)vsMistral Large 4Nemotron Nano 2vsMistral Large 4Frequently asked questions
DeepSeek V2.5 (Revised) and Nemotron Nano 2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V2.5 (Revised) shipped 251 days before Nemotron Nano 2, so benchmark comparisons should account for the intervening progress.
DeepSeek V2.5 (Revised) has 236B parameters, while Nemotron Nano 2 has 9B. Context windows are 128k (DeepSeek V2.5 (Revised)) vs 128k (Nemotron Nano 2).
Direct benchmark comparisons are unavailable — DeepSeek V2.5 (Revised) and Nemotron Nano 2 don't publish scores on any of the same benchmarks.