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Favicon for Io Net

io.net

Browse models provided by io.net (Terms of Service)

3 models

Tokens processed on OpenRouter

  • Favicon for z-ai
    Z.ai: GLM 5.2GLM 5.2

    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$1.68/M input tokens$5.28/M output tokens
  • Favicon for qwen
    Qwen: Qwen3.6 27BQwen3.6 27B

    Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs — and supports a 262,144-token context window. The model is designed for agentic coding and reasoning tasks, with particular strength in repository-level code comprehension, front-end development workflows, and multi-step problem solving. It includes a built-in thinking mode for extended reasoning and preserves thinking context across conversation history. Qwen3.6 27B supports 201 languages and dialects and is released under the Apache 2.0 license.

    by qwenApr 27, 2026262K context$0.2885/M input tokens$3.17/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$0.68/M input tokens$3.41/M output tokens