Compare AI models
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | 48B | 8B/49B |
| Overview | ||
| Company | Moonshot AI | NVIDIA |
| Release date | Oct 30 2025 | Mar 18 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Kimi LinearvsClaude Haiku 5.5Llama Nemotron (Nano/Super)vsClaude Haiku 5.5Kimi LinearvsGPT-6.1 SolLlama Nemotron (Nano/Super)vsGPT-6.1 SolKimi LinearvsGemini 4 ArgonLlama Nemotron (Nano/Super)vsGemini 4 ArgonKimi LinearvsMuse Spark 1.3Llama Nemotron (Nano/Super)vsMuse Spark 1.3Kimi LinearvsGrok 4.7Llama Nemotron (Nano/Super)vsGrok 4.7Kimi LinearvsDeepSeek-V4.1-FlashLlama Nemotron (Nano/Super)vsDeepSeek-V4.1-FlashFrequently asked questions
Kimi Linear and Llama Nemotron (Nano/Super) don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Llama Nemotron (Nano/Super) shipped 226 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Kimi Linear has 48B parameters, while Llama Nemotron (Nano/Super) has 8B/49B.
Direct benchmark comparisons are unavailable — Kimi Linear and Llama Nemotron (Nano/Super) don't publish scores on any of the same benchmarks.