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 | 8B |
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 | — |
| Overview | ||
| Company | Moonshot AI | NVIDIA |
| Release date | Oct 30 2025 | Oct 23 2026 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Kimi LinearvsClaude Haiku 5.5Nemotron 3.5 Bolt E4B 4GBvsClaude Haiku 5.5Kimi LinearvsGPT-6.1 SolNemotron 3.5 Bolt E4B 4GBvsGPT-6.1 SolKimi LinearvsGemini 4 ArgonNemotron 3.5 Bolt E4B 4GBvsGemini 4 ArgonKimi LinearvsMuse Spark OpenNemotron 3.5 Bolt E4B 4GBvsMuse Spark OpenKimi LinearvsGrok 4.7Nemotron 3.5 Bolt E4B 4GBvsGrok 4.7Kimi LinearvsDeepSeek-V4.1-Flash-1017Nemotron 3.5 Bolt E4B 4GBvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Kimi Linear and Nemotron 3.5 Bolt E4B 4GB don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Kimi Linear shipped 358 days before Nemotron 3.5 Bolt E4B 4GB, so benchmark comparisons should account for the intervening progress.
Kimi Linear has 48B parameters, while Nemotron 3.5 Bolt E4B 4GB has 8B.
Direct benchmark comparisons are unavailable — Kimi Linear and Nemotron 3.5 Bolt E4B 4GB don't publish scores on any of the same benchmarks.