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 |
| Overview | ||
| Company | DeepSeek | Z.ai |
| Release date | May 6 2024 | Jun 5 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek V2vsClaude Haiku 5.5GLM-4-9BvsClaude Haiku 5.5DeepSeek V2vsGPT-6.1 SolGLM-4-9BvsGPT-6.1 SolDeepSeek V2vsGemini 4 ArgonGLM-4-9BvsGemini 4 ArgonDeepSeek V2vsMuse Spark OpenGLM-4-9BvsMuse Spark OpenDeepSeek V2vsGrok 4.7GLM-4-9BvsGrok 4.7DeepSeek V2vsMistral Large 4GLM-4-9BvsMistral Large 4Frequently asked questions
DeepSeek V2 and GLM-4-9B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V2 shipped 30 days before GLM-4-9B, so benchmark comparisons should account for the intervening progress.
DeepSeek V2 has 236B parameters, while GLM-4-9B has 9B. Context windows are 128k (DeepSeek V2) vs 128k (GLM-4-9B).
Direct benchmark comparisons are unavailable — DeepSeek V2 and GLM-4-9B don't publish scores on any of the same benchmarks.