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 | |
| Release date | Dec 10 2024 | May 14 2024 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
DeepSeek V2.5 (Revised)vsClaude Haiku 5.5Gemini 1.5 FlashvsClaude Haiku 5.5DeepSeek V2.5 (Revised)vsGPT-6.1 SolGemini 1.5 FlashvsGPT-6.1 SolDeepSeek V2.5 (Revised)vsMuse Spark OpenGemini 1.5 FlashvsMuse Spark OpenDeepSeek V2.5 (Revised)vsGrok 4.7Gemini 1.5 FlashvsGrok 4.7DeepSeek V2.5 (Revised)vsMistral Large 4Gemini 1.5 FlashvsMistral Large 4DeepSeek V2.5 (Revised)vsKimi K3Gemini 1.5 FlashvsKimi K3Frequently asked questions
DeepSeek V2.5 (Revised) and Gemini 1.5 Flash don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.5 Flash shipped 210 days before DeepSeek V2.5 (Revised), so benchmark comparisons should account for the intervening progress.
Context windows are 128k (DeepSeek V2.5 (Revised)) vs 1M (Gemini 1.5 Flash). DeepSeek V2.5 (Revised) is open weight, while Gemini 1.5 Flash is closed.
Direct benchmark comparisons are unavailable — DeepSeek V2.5 (Revised) and Gemini 1.5 Flash don't publish scores on any of the same benchmarks.