Tuesday, 10 November 2026 | Updating Daily AI insight, written for builders

Kimi K3.1 Pro

Kimi K3.1 Pro — Specifications

Compilado por Mustafa Ihsan da documentação publicada pelo fornecedor · Última atualização

Desenvolvedor Moonshot AI
Tipo LLM (misto de especialistas, raciocínio, multimodal)
Modalidade Texto, Imagem → Texto
Parâmetros 2.8T total / 104B active (MoE, 16 of 896 experts)
Janela de contexto 1 milhão
Licença Kimi K3.1 Pro License (open weights)
Pesos abertos Sim
Lançado 2026-10
Preço da entrada $2.00 /1M
Preço da saída $10.00 /1M
Provedores de API Moonshot (Kimi API), OpenRouter

Execute-o localmente

VRAM (4 bits) ~1.6 TB (native MXFP4 weights)

Benchmarks

Moonshot-reported Terminal-Bench 4.0 65.7%; BenchCAD (with tools) 92.7%; OfficeQA Pro v2 64.4. Cached input $0.20 per 1M tokens; Highspeed variant $4.00 / $20.00.

Página oficial →

What is Kimi K3.1 Pro?

Kimi K3.1 Pro is Moonshot AI’s newest flagship, released on 24 October 2026. According to Moonshot, it is a post-trained version of Kimi K3 with substantially more post-training compute, aimed at coding, 3D creation, financial research and other agentic work. Like K3, it is a 2.8-trillion-parameter mixture-of-experts with 104B active parameters (16 of 896 experts per token) and a 1,048,576-token context window, and it reads text and images. It always thinks; reasoning effort can be set to low, high or max (the default). Moonshot reports 65.7% on Terminal-Bench 4.0, a vendor figure.

On Moonshot’s API, kimi-k3.1-pro costs $2.00 per million input tokens, $10.00 per million output tokens and $0.20 per million cached input tokens; writing to the cache costs $2.00 per million tokens for a 5-minute TTL or $4.00 for a 1-hour TTL. The Highspeed variant, which Moonshot says runs 2–3× faster, costs $4.00 in / $20.00 out. Batch jobs are billed at 60% of the standard price, and the model unlocks after a top-up of at least $1.

That is cheaper than its predecessor Kimi K3 ($3.00 / $15.00), and it is the model Moonshot’s retirement notice for the K2 series points to, which covers Kimi K2.7 Code. The weights are on Hugging Face under the Kimi K3.1 Pro License, which asks Model-as-a-Service businesses with more than $20 million in revenue over 12 months to sign a separate agreement. They ship as 4-bit MXFP4 files totalling about 1.56 TB, so self-hosting is a cluster-scale job and for most teams this is an API decision. Estimate a monthly bill with the Calculadora de custos de API de IA.

Kimi K3.1 Pro pricing: API cost per 1M tokens

Entrada (por 1 milhão de tokens)$2.00
Saída (por 1 milhão de tokens)$10.00
Razão saída/entrada5×
Misturada (4:1 entrada:saída)$3.60 por 1 milhão de tokens

What Kimi K3.1 Pro costs per month

Gasto mensal real com uma proporção de entrada para saída de 4:1 — a razão efetivamente gerada por cargas de trabalho típicas de chat ou RAG.

Carga de trabalhoTokens/mêsCusto por mês
Projeto paralelo 1 milhão de tokens de entrada / 0,25 milhão de tokens de saída $4.50
Equipe pequena 20 milhões de tokens de entrada / 5 milhões de tokens de saída $90
Produção 200 milhões de tokens de entrada / 50 milhões de tokens de saída $900

Calcule seus próprios números na Calculadora de custos de API de IA.

Cheaper alternatives to Kimi K3.1 Pro

ModeloCusto médio ponderado por US$ 1 milhãoVocê economiza
Llama 3.1 8B aberta $0.0240 99% mais barato
Mistral NeMo 12B aberta $0.0292 99% mais barato
Gemma 3 4B aberta $0.0600 98% cheaper

Hospedar localmente ou pagar pela API?

Kimi K3.1 Pro is open-weight, so you can run it yourself. It needs ~1.6 TB (native MXFP4 weights) of VRAM at 4-bit. Self-hosting only beats the API once your volume is high enough to keep that hardware busy — the calculadora de self-hosting vs API calcula o ponto de equilíbrio para seu volume de tokens.

Perguntas frequentes

How much does Kimi K3.1 Pro cost per 1M tokens?

Kimi K3.1 Pro costs $2.00 per 1M input tokens and $10.00 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $3.60 per 1M tokens.

How much does Kimi K3.1 Pro cost per month?

A small-team workload of 20M input and 5M output tokens a month costs about $90 on Kimi K3.1 Pro. A side project (1M in / 0.25M out) costs roughly $4.50.

What is a cheaper alternative to Kimi K3.1 Pro?

Llama 3.1 8B is the strongest cheaper option in our database at $0.0240 per 1M blended — about 99% less than Kimi K3.1 Pro. It is also open-weight, so self-hosting is an option.

Can I run Kimi K3.1 Pro locally?

Yes. Kimi K3.1 Pro is open-weight and needs about ~1.6 TB (native MXFP4 weights) of VRAM at 4-bit quantisation.

Why does Kimi K3.1 Pro charge more for output than input?

Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. Kimi K3.1 Pro charges 5× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.

Os preços correspondem às tarifas listadas oficialmente para a API principal do modelo e são revisados conforme os provedores os atualizam. Descontos por volume, processamento em lote ou entradas em cache não estão incluídos. Compare todos os modelos lado a lado na Banco de dados de modelos de IA ou o Ranking de LLMs.

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