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Favicon for Decart

Decart

Browse models provided by Decart (Terms of Service)

5 models

Tokens processed on OpenRouter

  • Favicon for z-ai
    Z.ai: GLM 5.3 FlashGLM 5.3 Flash
    15% off

    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.

    by z-aiAug 26, 20261.05M context$0.1275/M input tokens$0.425/M output tokens
  • Favicon for z-ai
    Z.ai: GLM 5.3GLM 5.3
    15% off

    GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency. Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

    by z-aiAug 18, 20261.05M context$1.19/M input tokens$3.74/M output tokens
  • Favicon for 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.

    by moonshotaiJul 16, 20261.05M context$3/M input tokens$15/M output tokens
  • Favicon for z-ai
    Z.ai: GLM 5.2GLM 5.2
    65% off

    GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is particularly strong at coding and tool use across long-running tasks, able to maintain engineering context and follow standards consistently through a full development workflow, from requirements to multi-platform deployment, in a single task.

    by z-aiJun 16, 20261.05M context$0.49/M input tokens$1.54/M output tokens
  • Favicon for moonshotai
    MoonshotAI: Kimi K2.6Kimi K2.6

    Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a single run without human oversight.

    by moonshotaiApr 20, 2026262K context$0.5865/M input tokens$2.47/M output tokens