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. | 2.8T | 8B/49B |
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 |
| Overview | ||
| Company | Moonshot AI | NVIDIA |
| Release date | Oct 23 2026 | Mar 18 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Kimi K3.1 Pro HighspeedvsClaude Haiku 5.5Llama Nemotron (Nano/Super)vsClaude Haiku 5.5Kimi K3.1 Pro HighspeedvsGPT-6.1 SolLlama Nemotron (Nano/Super)vsGPT-6.1 SolKimi K3.1 Pro HighspeedvsGemini 4 ArgonLlama Nemotron (Nano/Super)vsGemini 4 ArgonKimi K3.1 Pro HighspeedvsMuse Spark OpenLlama Nemotron (Nano/Super)vsMuse Spark OpenKimi K3.1 Pro HighspeedvsGrok 4.7Llama Nemotron (Nano/Super)vsGrok 4.7Kimi K3.1 Pro HighspeedvsDeepSeek-V4.1-Flash-1017Llama Nemotron (Nano/Super)vsDeepSeek-V4.1-Flash-1017Frequently asked questions
Kimi K3.1 Pro Highspeed 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 584 days before Kimi K3.1 Pro Highspeed, so benchmark comparisons should account for the intervening progress.
Kimi K3.1 Pro Highspeed has 2.8T parameters, while Llama Nemotron (Nano/Super) has 8B/49B. Context windows are 1M (Kimi K3.1 Pro Highspeed) vs 128k (Llama Nemotron (Nano/Super)). Kimi K3.1 Pro Highspeed is closed, while Llama Nemotron (Nano/Super) is open weight.
Direct benchmark comparisons are unavailable — Kimi K3.1 Pro Highspeed and Llama Nemotron (Nano/Super) don't publish scores on any of the same benchmarks.