Kimi K3.1 Pro — Specifications
Rédigé par Mustafa Ihsan d’après la documentation officielle du fournisseur · Dernière mise à jour
| Développeur | Moonshot AI |
|---|---|
| Type | LLM (architecture MoE, raisonnement, multimodal) |
| Modalité | Texte, image → texte |
| Paramètres | 2.8T total / 104B active (MoE, 16 of 896 experts) |
| Fenêtre de contexte | 1 million |
| Licence | Kimi K3.1 Pro License (open weights) |
| Poids ouverts | Oui |
| Publié | 2026-10 |
| Prix de l’entrée | $2.00 /1M |
| Prix de la sortie | $10.00 /1M |
| Fournisseurs d'API | Moonshot (Kimi API), OpenRouter |
Exécutez-le localement
| VRAM (4 bits) | ~1.6 TB (native MXFP4 weights) |
|---|
Résultats de référence
| 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. |
|---|
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 Calculateur de coûts pour les API IA.
Kimi K3.1 Pro pricing: API cost per 1M tokens
| Entrée (par million de jetons) | $2.00 |
|---|---|
| Sortie (par million de jetons) | $10.00 |
| Ratio sortie/entrée | 5× |
| Moyenne pondérée (4:1 entrée:sortie) | $3.60 par 1 million de jetons |
What Kimi K3.1 Pro costs per month
Dépense mensuelle réelle pour un ratio entrée-sortie de 4:1 — le rapport effectivement observé dans une charge de travail type (chat ou RAG).
| Charge de travail | Jetons/mois | Coût par mois |
|---|---|---|
| Projet secondaire | 1 million en entrée / 0,25 million en sortie | $4.50 |
| Petite équipe | 20 millions en entrée / 5 millions en sortie | $90 |
| Production | 200 millions en entrée / 50 millions en sortie | $900 |
Calculez vos propres coûts dans le Calculateur de coûts pour les API IA.
Cheaper alternatives to Kimi K3.1 Pro
| Modèle | Coût combiné par million de dollars | Vous économisez |
|---|---|---|
| Llama 3.1 8B ouverte | $0.0240 | 99 % moins cher |
| Mistral NeMo 12B ouverte | $0.0292 | 99 % moins cher |
| Gemma 3 4B ouverte | $0.0600 | 98% cheaper |
Hébergement local ou paiement via 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 calculatrice auto-hébergement vs API calcule le seuil de rentabilité pour votre volume de jetons.
Questions fréquemment posées
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.
Les prix indiqués correspondent aux tarifs publics officiels pour l’API principale du modèle et sont mis à jour régulièrement à mesure que les fournisseurs les modifient. Les remises liées aux volumes, aux traitements par lots ou aux entrées mises en cache ne sont pas prises en compte. Comparez tous les modèles côte à côte dans le Base de données des modèles IA ou le Classement des grands modèles linguistiques (LLM).