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 | — |
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 | 1M |
| Overview | ||
| Company | DeepSeek | SpaceXSI |
| Release date | Sep 5 2024 | Feb 17 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
DeepSeek V2.5vsClaude Haiku 5.5Grok 3vsClaude Haiku 5.5DeepSeek V2.5vsGPT-6.1 SolGrok 3vsGPT-6.1 SolDeepSeek V2.5vsGemini 4 ArgonGrok 3vsGemini 4 ArgonDeepSeek V2.5vsMuse Spark OpenGrok 3vsMuse Spark OpenDeepSeek V2.5vsMistral Large 4Grok 3vsMistral Large 4DeepSeek V2.5vsKimi K3Grok 3vsKimi K3Frequently asked questions
DeepSeek V2.5 and Grok 3 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V2.5 shipped 165 days before Grok 3, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (DeepSeek V2.5) vs 1M (Grok 3). DeepSeek V2.5 is open weight, while Grok 3 is closed.
Direct benchmark comparisons are unavailable — DeepSeek V2.5 and Grok 3 don't publish scores on any of the same benchmarks.