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 | 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 | Moonshot AI | Z.ai |
| Release date | Apr 10 2025 | Jun 5 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Kimi-VLvsClaude Fable 5.2GLM-4-9BvsClaude Fable 5.2Kimi-VLvsGPT-6.1 TerraGLM-4-9BvsGPT-6.1 TerraKimi-VLvsGemini 4 HydrogenGLM-4-9BvsGemini 4 HydrogenKimi-VLvsMuse EmberGLM-4-9BvsMuse EmberKimi-VLvsGrok 4.7GLM-4-9BvsGrok 4.7Kimi-VLvsDeepSeek-V4.1-Flash-1017GLM-4-9BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Kimi-VL and GLM-4-9B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GLM-4-9B shipped 309 days before Kimi-VL, so benchmark comparisons should account for the intervening progress.
Kimi-VL has 16B parameters, while GLM-4-9B has 9B. Context windows are 128k (Kimi-VL) vs 128k (GLM-4-9B).
Direct benchmark comparisons are unavailable — Kimi-VL and GLM-4-9B don't publish scores on any of the same benchmarks.