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. | 12B | 2.8T |
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 | 1M |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.0166Io Net | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.0216Io Net | — |
| $4.40Io Net · fp16 | — | |
| Overview | ||
| Company | Mistral | Moonshot AI |
| Release date | Jul 18 2024 | Oct 23 2026 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
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Mistral NeMo and Kimi K3.1 Pro Highspeed don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral NeMo shipped 827 days before Kimi K3.1 Pro Highspeed, so benchmark comparisons should account for the intervening progress.
Mistral NeMo has 12B parameters, while Kimi K3.1 Pro Highspeed has 2.8T. Context windows are 128k (Mistral NeMo) vs 1M (Kimi K3.1 Pro Highspeed). Mistral NeMo is open weight, while Kimi K3.1 Pro Highspeed is closed.
Direct benchmark comparisons are unavailable — Mistral NeMo and Kimi K3.1 Pro Highspeed don't publish scores on any of the same benchmarks.