Aller au contenu
Alpha
  • Modèles
  • Classements
  • Ori
Contacter l’équipe commerciale

Pied de page

OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Produit

  • Chat
  • Ori
  • Laboratoire
  • Tarifs
  • Business
  • Enterprise

Explorer

  • Classements
  • Modèles
  • Applications
  • Fournisseurs
  • Évaluations comparatives
  • Outils
  • Découvrir
  • Compatible avec OR

Entreprise

  • À propos
  • Blog
  • Clients
  • Carrières
    Recrutement
  • Confidentialité
  • Conditions d’utilisation
  • Centre de confiance
  • Assistance
  • Données
  • Marque

Développeur

  • Documentation
  • Référence de l’API
  • Plateforme pour développeurs
  • Statut
  • Plan du site pour l’IA

Connecter

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
Favicon de KT

KT

Parcourir les modèles fournis par KT (Conditions d’utilisation)

7 modèles

Jetons traités sur OpenRouter

  • Favicon de kt
    KT: Mi:dm K 3.0 ProMi:dm K 3.0 Pro

    Mi:dm K 3.0 Pro is a Mixture-of-Experts reasoning model from KT, with 120B total and 12B active parameters. It uses a hybrid architecture that mixes Mamba, MoE and attention layers.

    par kt5 nov. 2026262K de contexte0,20 $US/M entrée jetons0,80 $US/M sortie jetons
  • Favicon de motif-technologies
    Motif Technologies: Motif 3Motif 3

    Motif 3 is a Mixture-of-Experts language model from Motif Technologies, with 314B total and 13.2B active parameters. It is a general-purpose multilingual model for English and Korean, particularly strong at long-horizon agentic tool use and terminal-based problem solving, with additional training emphasis on Korean, reasoning-intensive, legal, and financial data.

    par motif-technologies2 nov. 2026262K de contexte0,30 $US/M entrée jetons1,20 $US/M sortie jetons
  • Favicon de z-ai
    Z.ai: GLM 5.3 FlashGLM 5.3 Flash

    GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead.

    par z-ai26 août 20261,05M de contexte0,15 $US/M entrée jetons0,50 $US/M sortie jetons
  • Favicon de upstage
    Upstage: Solar Pro 4Solar Pro 4

    Solar Pro 4 is Upstage's cost-efficient large language model, featuring a 524K context window. It is built for long-horizon tasks and agentic workflows, with strong capabilities in office productivity, document-intensive work, and coding. When using BYOK with ZDR enforcement, the Console API key must belong to a ZDR-enabled Upstage organization. Contact Upstage to enable ZDR on your org.

    par upstage10 août 2026524K de contexte0,30 $US/M entrée jetons1,20 $US/M sortie jetons
  • Favicon de moonshotai
    MoonshotAI: Kimi K3Kimi K3

    Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at navigating large repositories, using tools, debugging, and iterating against images, logs, tests, and runtime feedback. Its architecture uses KDA and Attention Residuals for computational efficiency.

    par moonshotai16 juil. 20261,05M de contexte3 $US/M entrée jetons15 $US/M sortie jetons
  • Favicon de nvidia
    NVIDIA: Nemotron 3 UltraNemotron 3 Ultra

    NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it supports text input and output with a context window of up to 1M tokens. It is suited for long-running agentic workflows, including agent orchestration, coding agents, deep research, and complex enterprise tasks. It is particularly strong at multi-step reasoning and planning, with high-throughput inference designed for high-volume agent pipelines. It is part of the NVIDIA Nemotron family of open models for agentic AI.

    par nvidia4 juin 20261M de contexte0,50 $US/M entrée jetons2,20 $US/M sortie jetons
  • Favicon de google
    Google: Gemma 4 31BGemma 4 31B

    Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function calling, and multilingual support across 140+ languages. Strong on coding, reasoning, and document understanding tasks. Apache 2.0 license.

    par google2 avr. 2026262K de contexte0,10 $US/M entrée jetons0,34 $US/M sortie jetons