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. | — | 70B |
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. | 128k | 128k |
| Overview | ||
| Company | Moonshot AI | NVIDIA |
| Release date | Jan 20 2025 | Oct 15 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
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Kimi K1.5 and Llama 3.1 Nemotron 70B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Llama 3.1 Nemotron 70B shipped 97 days before Kimi K1.5, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Kimi K1.5) vs 128k (Llama 3.1 Nemotron 70B). Kimi K1.5 is closed, while Llama 3.1 Nemotron 70B is open weight.
Direct benchmark comparisons are unavailable — Kimi K1.5 and Llama 3.1 Nemotron 70B don't publish scores on any of the same benchmarks.