Moonshot AI
Kimi K3.1 ProAperto
Moonshot’s 2.8T-parameter MoE flagship with 1M context, native multimodality and frontier reasoning.
Intelligenza
94.2 #3
AAQI 68.0
Velocità Uscita
45 t/s
ITL 22.2 ms/tok
Prezzo combinato (3:1)
$8 /1M
Input $4/M · Output $20/M
Contesto
1.0M
≈ 2,500 pagine A4 · output max 131,072
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Kimi K3.1 Pro
Claude Mythos Preview (#1)
Average (68)
Gli assi radar sono approssimati dai punteggi di categoria dove mancano misurazioni dirette — vedi Metodologia.
Punti di forza e compromessi
Dove vince
- Top-3 podium score — frontier reasoning and agentic tool use
- 1M context with open weights
- Strong SWE-bench / Terminal-Bench results for long-horizon coding
- Multimodal document and chart understanding at 96+
A cosa fare attenzione
- Multi-node cluster required for self-hosting (2.8T MoE)
- 45 tok/s output — slower than flash-tier peers
- Premium pricing vs. smaller open models
Casi d'uso killer
Long-horizon coding agents
131K output window rewrites whole files; leads SWE-bench-class leaderboards.
Agentic browsing & research
Tool-use loops over 1M-token contexts — the K-line’s signature workload.
Multimodal enterprise RAG
Charts, scans and PDFs ingested natively alongside text.
Quickstart per sviluppatori e API
Imposta prima
MOONSHOT_API_KEY — ottieni una chiave APIcurl https://api.moonshot.ai/v1/chat/completions \
-H "Authorization: Bearer $MOONSHOT_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "kimi-k3-1-pro",
"messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.moonshot.ai/v1",
api_key=os.environ["MOONSHOT_API_KEY"],
)
resp = client.chat.completions.create(
model="kimi-k3-1-pro",
messages=[{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}],
)
print(resp.choices[0].message.content)const res = await fetch("https://api.moonshot.ai/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.MOONSHOT_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({
model: "kimi-k3-1-pro",
messages: [{ role: "user", content: "Refactor this function for O(n) time and explain the change." }],
}),
});
console.log((await res.json()).choices[0].message.content);Risorse e link ufficiali
Deployment API
Confronta host e latenza
Throughput, TTFT e prezzi cache su Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock e Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Punteggi per Fonte
Punteggi per Categoria
Risultati dei Benchmark
Scontri diretti live
Specifiche live e architettura
Sotto il cofano
Kimi K3.1 Pro — 2.8T MoE, ~40B active
- Sparse MoE routing — ~40B active per token out of 2.8T total
- Native multimodality: text + vision in a single weight set
- Reasoning effort levels with a 131K max output window
- INT4 checkpoints for cheaper multi-node serving
Data di Rilascio
20 ott 2026
Architettura
Kimi K3.1 Pro — 2.8T MoE, ~40B active
Parametri
2.8T MoE
Licenza
Open Weights
Finestra di Contesto
1,000,000 tokens
Output max
131,072 tokens
Modalità
text + image
Prezzi cache
lettura $0.4 · scrittura $5 /1M
Ragionamento
Livelli di sforzo
Prezzo Ingresso
$4/M
Prezzo Uscita
$20/M
Velocità Uscita
45 t/s
Tempo al Primo Token
—
Dati aggiornati
22 ott 2026
Hardware e inferenza locale
Dati: Convly AI (CC BY 4.0) ↗GPU min.
Multi-node cluster (e.g. 2× 8-GPU H200 141GB nodes)
Stima bolletta mensile
Spesa mensile stimata
$0.00
Calcolo risparmio vs GPT-4o…
Cita e incorpora
Badge Markdown GitHub
Loading badge markdown...BibTeX
@misc{llmpodium2026kimik31pro,
title = {Benchmark Analysis and Intelligence Evaluation of Kimi K3.1 Pro},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/kimi-k3-1-pro}
}Incorpora il badge del punteggio
Aggiungi un badge Podium Score live al tuo README su GitHub o Hugging Face — rimanda alla classifica live.
Anteprima
Markdown
Loading badge snippet...HTML
Loading badge snippet...Altri modelli di Moonshot AI
Modelli alternativi
Migliori alternative a Kimi K3.1 Pro in base a capacità, prezzi e benchmark.