grok-4.7

Grok 4.7 is xAI’s frontier reasoning model for software development, agent execution, and professional knowledge work. It is designed to improve long-horizon task execution, complex planning, code debugging, and self-verification. It is well suited for software engineering, research and analysis, document and presentation creation, and automated workflows that require multiple rounds of tool use. The model supports text and image input with text output, offers a 500,000-token context window, and has no text output limit. Developers can choose among low, medium, high, and xhigh reasoning effort levels to balance speed, cost, and reasoning quality. It supports function calling, web search, X search, and code execution, and can be accessed through xAI’s Responses API or Chat Completions API.

Context
500000 tokens
Max output
128000 tokens
Input
llm image
Output
llm

Pricing

Input: $2 / 1M tokens

Output: $6 / 1M tokens

Cached input: $0.5 / 1M tokens

Endpoints

  • openai
  • openai-response

More models

  • qwen3.7-max

    Qwen3.7-Max 于 2026 年 5 月 20 日发布,是千问 3.7 系列的旗舰版本,定位为“面向智能体时代的新一代旗舰模型”。模型拥有超过 1 万亿参数及 100 万 Token 上下文窗口,核心优势在于智能体能力的广度与深度,在编程、办公生产力和长周期自主执行方面均有突出表现。在 Terminal-Bench 2.0 Terminus 上得分 72.3,SWE-Pro 得分 60.4,多项指标刷新国内 SOTA。其标志性能力是支持 35 小时连续自主运行、完成超过 1,100 次工具调用,并在全自主 kernel 优化任务中达成 10.0 倍几何平均加速比。模型兼容 Claude Code、OpenClaw 等主流智能体框架,是构建复杂 Agent 系统的可靠基座。

  • MiniMax-M2.7

    MiniMax-M2.7于2026年3月推出,是MiniMax首个深度参与自身迭代的模型。M2.7内置Agent Harness框架,能够自主构建复杂的技能集、更新自身记忆,并通过强化学习驱动迭代优化,形成“模型驱动模型进化”的闭环。一个内部版本在100余轮自我优化中将编程脚手架性能提升了30%。在软件工程基准SWE-Pro上,M2.7得分56.22%,VIBE-Pro得分55.6%,接近Opus 4.6水平。M2.7对Office三件套的复杂编辑能力显著增强,GDPval-AA ELO得分1495为开源最高。在40个复杂技能(单技能超过2000 Token)的案例中,M2.7保持了97%的技能遵循率。

  • claude-opus-5-1009
  • gemini-3.5-flash-0930