sophnet/GLM-4.7

GLM-4.7 is Zhipu’s flagship text model, primarily positioned to enhance agentic coding capabilities, covering complex task solving and efficient creation across multiple scenarios, enabling autonomous planning, execution, and validation of code tasks.

• Key Upgrades: Compared to GLM-4.6, its mathematical and reasoning abilities have improved by 41%, achieving a score of 42.8% on the HLE benchmark—exceeding GPT-5.1; it introduces retained thinking and round-based thinking modes, ensuring more stable execution of complex tasks and allowing users to control inference costs as needed.
• Applicable Scenarios: It covers multiple professional scenarios, including agentic coding, multimodal interaction app development, frontend design, office productivity, deep research, software development, algorithm implementation, and script automation.
• Evaluation Data: The τ²-Bench interactive tool invocation evaluation scored 84.7 points (open-source SOTA), and the BrowseComp web task evaluation scored 67 points.
• Product Value: It generates complete, runnable code frameworks, reducing manual assembly and debugging costs and accelerating the process from idea to implementation.
• Core Parameters: Context window size is 200K, with a maximum output token limit of 128K, supporting structured format outputs such as JSON.
• Evaluation Data: It supports over 100 programming languages, averages 3.2 toolchain calls per task, and boasts an autonomous repair rate exceeding 65%.

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Core Capabilities

💻 Strong Breakthrough in Agentic Coding: From requirement understanding to solution decomposition, it autonomously completes integration across multiple tech stacks, generating structurally complete, runnable code that covers front-to-back end integration scenarios.

🧠 Controllable Thinking Modes: Supports interleaved, retained, and round-based thinking. For simple tasks, it reduces thinking time to lower latency; for complex tasks, it increases thinking depth to improve accuracy; and for long-term tasks, it enables more efficient caching.

🎨 Enhanced Frontend Aesthetic Quality: It precisely understands UI design standards and provides high-quality default solutions for layout, color schemes, and component styles, significantly reducing the time spent on fine-tuning styles.

📝 Immersive Creation Experience: Text expressions are detailed and vividly visual, character roles maintain consistent personality traits, plot progression feels natural, and office creation adheres closely to mainstream formatting standards.

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Test Data