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 | — |
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 | SpaceXSI |
| Release date | Apr 10 2025 | Aug 14 2024 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Kimi-VLvsClaude Haiku 5.5Grok‑2vsClaude Haiku 5.5Kimi-VLvsGPT-6.1 SolGrok‑2vsGPT-6.1 SolKimi-VLvsGemini 4 ArgonGrok‑2vsGemini 4 ArgonKimi-VLvsMuse Spark OpenGrok‑2vsMuse Spark OpenKimi-VLvsDeepSeek-V4.1-Flash-1017Grok‑2vsDeepSeek-V4.1-Flash-1017Kimi-VLvsMistral Large 4Grok‑2vsMistral Large 4Frequently asked questions
Kimi-VL and Grok‑2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Grok‑2 shipped 239 days before Kimi-VL, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Kimi-VL) vs 128k (Grok‑2). Kimi-VL is open weight, while Grok‑2 is closed.
Direct benchmark comparisons are unavailable — Kimi-VL and Grok‑2 don't publish scores on any of the same benchmarks.