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Favicon for Io Net

io.net

Browse models provided by io.net

4 models

Tokens processed on OpenRouter

  • Z.ai: GLM 5GLM 5

    GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.

    by z-aiFeb 11, 2026203K context$0.94/M input tokens$3/M output tokens
  • MoonshotAI: Kimi K2.5Kimi K2.5

    Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed visual and text tokens, it delivers strong performance in general reasoning, visual coding, and agentic tool-calling.

    by moonshotaiJan 27, 2026262K context$0.55/M input tokens$3/M output tokens
  • Z.ai: GLM 4.7GLM 4.7

    GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics.

    by z-aiDec 22, 2025200K context$0.44/M input tokens$2/M output tokens
  • OpenAI: gpt-oss-120bgpt-oss-120b

    gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.

    by openaiAug 5, 2025131K context$0.17/M input tokens$0.62/M output
tokens