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Favicon for Wafer

Wafer

Browse models provided by Wafer (Terms of Service)

4 models

Tokens processed on OpenRouter

  • Favicon for 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.

    by z-aiAug 26, 20261.05M context$0.15/M input tokens$0.50/M output tokens
  • Favicon for z-ai
    Z.ai: GLM 5.3GLM 5.3

    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$1.40/M input tokens$4.40/M output tokens
  • Favicon for deepseek
    DeepSeek: DeepSeek V4 Flash 0731DeepSeek V4 Flash 0731

    DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows. This is the GA release of DeepSeek V4 Flash.

    by deepseekJul 31, 20261.05M context$0.20/M input tokens$0.25/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