Product
Kimi K3: ficha técnica, precios de API y datos
Updated
Moonshot AIAI Models & LLMs
- Context window
- 1,048,576 tokens
- Open weights (downloadable)
- Yes
Data sheet · Kimi K3
Every figure is quoted from the vendor's official page, with the date we read it. If a row is missing, the source does not state it and we do not estimate it.
Memory and answer length
- Context window
- 1,048,576 tokensRank 5 of 21
What it means and the source
How much text the model keeps in view in a single request, question and answer included. It matters for long documents and whole code projects. A token is a fragment of a word.
huggingface.coOpens the source in a new tab Oct 23, 2026
Knowledge and abilities
- Reads images
- Yes13 models out of 23
What it means and the source
The model can take images (photos, screenshots, charts) as well as text.
huggingface.coOpens the source in a new tab Oct 23, 2026
Size and openness
- Parameters
- 2.8 trillion
What it means and the source
The size of the network: how many billions of learned values make it up. Bigger does not necessarily mean better, but it tells how much hardware it takes to run it yourself.
huggingface.coOpens the source in a new tab Oct 23, 2026- Active parameters per token
- 104 billion
What it means and the source
In «mixture of experts» models only part of the network works on each word: these are the parameters actually used for each token, and they matter for speed and running costs.
huggingface.coOpens the source in a new tab Oct 23, 2026- Open weights (downloadable)
- Yes7 models out of 23
What it means and the source
The model's weights can be downloaded: you can run it on your own servers, adapt it and decide where the data stays, within the licence terms.
huggingface.coOpens the source in a new tab Oct 23, 2026
Where it stands · Kimi K3
The same verified figures, next to those of the other catalogue models. Tap a model for the head-to-head.
Hardware to try AI at home
Kimi K3: just holding the weights in memory takes about 5,600 GB at 16-bit, 2,800 GB at 8-bit, 1,400 GB at 4-bit. Beyond 24 GB it is not a home-PC job: using it through an API makes more sense.Worked out from the billions of parameters the vendor states, not a measurement: context and the runtime need more memory.
Questions and answers
Kimi K3: how much text can it read at once?
The context window is 1,048,576 tokens.
Kimi K3: can I run it on my own computer?
Yes, the vendor publishes the model's weights. Parameters: 2.8 trillion. Holding them in memory takes about 1,400 GB at 4-bit; context and the runtime need more memory.
En resumen
En Moonshot AI Kimi K3 el dato que de verdad importa es Ventana de contexto: 1048576. Lo he tomado de Moonshot AI – model card (Hugging Face). Entre los 21 que he comprobado, 4 lo hacen mejor. El otro dato que mirar es Lee imágenes: 1.
Los números de Moonshot AI Kimi K3
Los he puesto en orden de importancia, con el valor y la posición frente a los otros que comprobé.
Ventana de contexto: 1048576. Posición 5 de los 21 que he comparado.
Lee imágenes: 1. Es el mejor valor entre los 13 que he comparado.
Open weights (downloadable): 1. Es el mejor valor entre los 7 que he comparado.
Parámetros (miles de millones): 2.8T. Es el mejor valor entre los 7 que he comparado.
Parámetros activos por token (miles de millones): 104B. Es el mejor valor entre los 2 que he comparado.
Para quién es
Elígelo si Lee imágenes es tu prioridad: 1, y ninguno de los que comprobé lo hace mejor.
Te conviene si buscas Open weights (downloadable): 1.
Mira en otra parte si lo que te importa es Ventana de contexto: aquí es 1048576, y 4 productos lo hacen mejor.
Más información
Fuentes
Ask Sir Compare:Explain these numbers to me
Reviews and tests
Moonshot AI Kimi K3
Reviews and tests · Moonshot AI Kimi K3
Reviews are not available yet.
What changed
- Page updated
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