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. | 16B/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 | Jun 17 2024 | Aug 18 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek Coder V2vsClaude Haiku 5.5Nemotron Nano 2vsClaude Haiku 5.5DeepSeek Coder V2vsGPT-6.1 SolNemotron Nano 2vsGPT-6.1 SolDeepSeek Coder V2vsGemini 4 ArgonNemotron Nano 2vsGemini 4 ArgonDeepSeek Coder V2vsMuse Spark OpenNemotron Nano 2vsMuse Spark OpenDeepSeek Coder V2vsGrok 4.7Nemotron Nano 2vsGrok 4.7DeepSeek Coder V2vsMistral Large 4Nemotron Nano 2vsMistral Large 4Frequently asked questions
DeepSeek Coder V2 and Nemotron Nano 2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek Coder V2 shipped 427 days before Nemotron Nano 2, so benchmark comparisons should account for the intervening progress.
DeepSeek Coder V2 has 16B/236B parameters, while Nemotron Nano 2 has 9B. Context windows are 128k (DeepSeek Coder V2) vs 128k (Nemotron Nano 2).
Direct benchmark comparisons are unavailable — DeepSeek Coder V2 and Nemotron Nano 2 don't publish scores on any of the same benchmarks.