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KT 的网站图标

KT

浏览以下提供商提供的模型: KT (服务条款)

7 个模型

OpenRouter 处理的 token 数

  • kt 的网站图标
    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.

    作者: kt2026年11月5日262K 上下文US$0.20/M 输入 tokenUS$0.80/M 输出 token
  • motif-technologies 的网站图标
    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.

    作者: motif-technologies2026年11月2日262K 上下文US$0.30/M 输入 tokenUS$1.20/M 输出 token
  • z-ai 的网站图标
    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.

    作者: z-ai2026年8月26日1.05M 上下文US$0.15/M 输入 tokenUS$0.50/M 输出 token
  • upstage 的网站图标
    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.

    作者: upstage2026年8月10日524K 上下文US$0.30/M 输入 tokenUS$1.20/M 输出 token
  • moonshotai 的网站图标
    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.

    作者: moonshotai2026年7月16日1.05M 上下文US$3/M 输入 tokenUS$15/M 输出 token
  • nvidia 的网站图标
    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.

    作者: nvidia2026年6月4日1M 上下文US$0.50/M 输入 tokenUS$2.20/M 输出 token
  • google 的网站图标
    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.

    作者: google2026年4月2日262K 上下文US$0.10/M 输入 tokenUS$0.34/M 输出 token