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. | 1M | 128k |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 15% | — |
| Overview | ||
| Company | Moonshot AI | |
| Release date | Jan 30 2025 | Apr 10 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 2.0 FlashvsClaude Haiku 5.5Kimi-VLvsClaude Haiku 5.5Gemini 2.0 FlashvsGPT-6.1 SolKimi-VLvsGPT-6.1 SolGemini 2.0 FlashvsMuse Spark OpenKimi-VLvsMuse Spark OpenGemini 2.0 FlashvsGrok 4.7Kimi-VLvsGrok 4.7Gemini 2.0 FlashvsDeepSeek-V4.1-Flash-1017Kimi-VLvsDeepSeek-V4.1-Flash-1017Gemini 2.0 FlashvsMistral Large 4Kimi-VLvsMistral Large 4Frequently asked questions
Gemini 2.0 Flash and Kimi-VL don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 2.0 Flash shipped 70 days before Kimi-VL, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 2.0 Flash) vs 128k (Kimi-VL). Gemini 2.0 Flash is closed, while Kimi-VL is open weight.
Direct benchmark comparisons are unavailable — Gemini 2.0 Flash and Kimi-VL don't publish scores on any of the same benchmarks.