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 | 253B |
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. | ||
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. | — | 66.3% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 76% |
| Overview | ||
| Company | DeepSeek | NVIDIA |
| Release date | Dec 10 2024 | Apr 8 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek V2.5 (Revised)vsClaude Haiku 5.5Llama Nemotron Ultra 253BvsClaude Haiku 5.5DeepSeek V2.5 (Revised)vsGPT-6.1 SolLlama Nemotron Ultra 253BvsGPT-6.1 SolDeepSeek V2.5 (Revised)vsGemini 4 ArgonLlama Nemotron Ultra 253BvsGemini 4 ArgonDeepSeek V2.5 (Revised)vsMuse Spark OpenLlama Nemotron Ultra 253BvsMuse Spark OpenDeepSeek V2.5 (Revised)vsGrok 4.7Llama Nemotron Ultra 253BvsGrok 4.7DeepSeek V2.5 (Revised)vsMistral Large 4Llama Nemotron Ultra 253BvsMistral Large 4Frequently asked questions
DeepSeek V2.5 (Revised) and Llama Nemotron Ultra 253B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V2.5 (Revised) shipped 119 days before Llama Nemotron Ultra 253B, so benchmark comparisons should account for the intervening progress.
DeepSeek V2.5 (Revised) has 236B parameters, while Llama Nemotron Ultra 253B has 253B. Context windows are 128k (DeepSeek V2.5 (Revised)) vs 128k (Llama Nemotron Ultra 253B).
Direct benchmark comparisons are unavailable — DeepSeek V2.5 (Revised) and Llama Nemotron Ultra 253B don't publish scores on any of the same benchmarks.