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. | — | 48B |
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 | 1M |
| 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 | Oct 30 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 2.0 FlashvsClaude Haiku 5.5Kimi LinearvsClaude Haiku 5.5Gemini 2.0 FlashvsGPT-6.1 SolKimi LinearvsGPT-6.1 SolGemini 2.0 FlashvsMuse Spark OpenKimi LinearvsMuse Spark OpenGemini 2.0 FlashvsGrok 4.7Kimi LinearvsGrok 4.7Gemini 2.0 FlashvsDeepSeek-V4.1-Flash-1017Kimi LinearvsDeepSeek-V4.1-Flash-1017Gemini 2.0 FlashvsMistral Large 4Kimi LinearvsMistral Large 4Frequently asked questions
Gemini 2.0 Flash and Kimi Linear don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 2.0 Flash shipped 273 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 2.0 Flash) vs 1M (Kimi Linear). Gemini 2.0 Flash is closed, while Kimi Linear is open weight.
Direct benchmark comparisons are unavailable — Gemini 2.0 Flash and Kimi Linear don't publish scores on any of the same benchmarks.