GLM-5-Turbo Complete Guide 2026: China's New Frontier AI Model
🎯 Key Takeaways (TL;DR)
- GLM-5-Turbo is Zhipu AI's latest flagship model, designed specifically for high-throughput agentic workloads with improved stability and efficiency
- The GLM-5-Turbo model scales to 744B parameters (40B active) with 28.5T training tokens, integrating DeepSeek Sparse Attention for reduced deployment costs
- GLM-5-Turbo pricing starts at approximately $0.96 per million input tokens and $3.20 per million output tokens on OpenRouter—significantly undercutting competitors
- GLM-5-Turbo is designed for complex agent tasks including advanced reasoning, coding, tool use, web browsing, and multi-step workflows
Table of Contents
- What is GLM-5-Turbo?
- Technical Specifications
- Performance and Benchmarks
- GLM-5-Turbo vs Competitors
- Pricing and Availability
- Use Cases
- Summary
What is GLM-5-Turbo?
GLM-5-Turbo is the latest flagship large language model from Zhipu AI (also known as Z.ai), a Chinese AI company and the first public AI company in China. Released on February 11, 2026, just days before Lunar New Year, GLM-5 represents a significant leap forward in open-source AI capabilities.
Unlike its predecessors, GLM-5-Turbo is specifically engineered for high-throughput agentic workloads. The "Turbo" variant focuses on improving stability and efficiency in long-chain agent tasks, enabling smoother execution for complex, multi-step workflows.
đź’ˇ Pro Tip GLM-5-Turbo is specifically optimized for OpenClaw and similar agent-driven environments, making it an excellent choice for automation and coding tasks.
Technical Specifications
| Specification | GLM-5 | GLM-4.5 |
|---|---|---|
| Total Parameters | 744B | 355B |
| Active Parameters | 40B | 32B |
| Pre-training Tokens | 28.5T | 23T |
| Context Length | Up to 200K | 200K |
| Attention Mechanism | DeepSeek Sparse Attention (DSA) | Standard |
Key Technical Innovations
-
DeepSeek Sparse Attention (DSA): The integration of DSA largely reduces deployment costs while maintaining high performance, making the model more accessible for production use.
-
Agentic Design: GLM-5 is specifically designed for complex systems engineering and long-horizon agentic tasks, including:
- Advanced reasoning
- Coding and software development
- Tool use and function calling
- Web browsing automation
- Terminal operations
- Multi-step agentic workflows
-
Extended Context: Supports up to 200K tokens of context, enabling the model to handle long documents and complex conversations without losing track of important details.
Performance and Benchmarks
According to benchmarks and independent testing:
- Coding Capabilities: GLM-5 approaches Anthropic's Claude Opus 4.5 in coding benchmark tests
- Benchmark Performance: Surpasses Google's Gemini 3 Pro on several benchmarks
- Hallucination Rate: Achieves a record-low hallucination rate among open-source models, according to VentureBeat
- Agent Stability: Specifically optimized for long-running agent tasks with improved error handling and task continuity
Key Improvements Over GLM-4.5
The model shows significant improvements across multiple dimensions:
| Metric | Improvement |
|---|---|
| Parameter Scale | 2x increase (355B → 744B) |
| Training Data | 24% more tokens (23T → 28.5T) |
| Active Parameters | 25% increase (32B → 40B) |
| Deployment Efficiency | Significantly improved via DSA |
GLM-5-Turbo vs Competitors
Pricing Comparison
| Model | Input Price (per 1M tokens) | Output Price (per 1M tokens) |
|---|---|---|
| GLM-5-Turbo | $0.96 | $3.20 |
| GPT-4o | ~$5.00 | ~$15.00 |
| Claude 3.5 Sonnet | ~$3.00 | ~$15.00 |
| Gemini 2.0 Pro | ~$1.25 | ~$5.00 |
GLM-5-Turbo offers significant cost savings compared to major competitors—up to 80% cheaper than GPT-4o for input tokens.
Performance Positioning
Based on available benchmarks and testing:
- Coding: Approaches Claude Opus 4.5 level
- Reasoning: Competitive with frontier models
- Agent Tasks: Optimized specifically for multi-step workflows
- Cost Efficiency: Best-in-class price-to-performance ratio
Pricing and Availability
Official API Access
GLM-5-Turbo is available through multiple platforms:
- Z.ai Platform (z.ai): Official API with subscription plans starting from $10/month
- OpenRouter: As of February 11, 2026, available at approximately $0.80-1.00 per million input tokens and $2.56-3.20 per million output tokens
- NVIDIA NIM: Available through NVIDIA's inference platform
- WaveSpeed API: Alternative access point
Open Source
The base GLM-5 model is open-source and available on HuggingFace at zai-org/GLM-5, allowing for self-hosting and customization.
Use Cases
GLM-5-Turbo excels in the following scenarios:
- AI Coding Assistants: Powering IDE extensions and code generation tools
- Automation Agents: Running long-chain tasks like research automation, data collection
- Complex Reasoning: Multi-step problem solving and analysis
- Tool Orchestration: Managing multiple API calls and function executions
- Web Automation: Browser automation and web scraping tasks
- Terminal Operations: Command-line automation and scripting
⚠️ Note GLM-5-Turbo is optimized for agentic workflows and may be overkill for simple text generation tasks. Consider the standard GLM-5 for more straightforward use cases.
Summary
GLM-5-Turbo represents a significant milestone in the AI landscape—not just for China, but for the global AI community. With its combination of:
- Frontier-level performance approaching Claude Opus 4.5 in coding
- Aggressive pricing at 80% less than GPT-4o
- Agent-specific optimizations for long-running workflows
- Open-source availability for the base model
...it offers a compelling alternative to established players. Whether you're building AI-powered applications, coding assistants, or automation agents, GLM-5-Turbo deserves serious consideration.
The model is particularly well-suited for OpenClaw users and developers building agentic systems that require stability and efficiency in multi-step workflows.
🤔 FAQ
Q: What is GLM-5-Turbo best used for?
A: GLM-5-Turbo is specifically designed for agentic tasks—multi-step workflows involving reasoning, coding, tool use, web browsing, and terminal operations. It's particularly well-suited for automation agents and coding assistants.
Q: How does GLM-5-Turbo compare to GPT-4o?
A: While GPT-4o remains a frontier model, GLM-5-Turbo approaches it in coding capabilities at a fraction of the cost—approximately 80% cheaper. It's particularly strong in agentic scenarios where stability and efficiency matter.
Q: Is GLM-5 open source?
A: Yes, the base GLM-5 model is open-source and available on HuggingFace. However, GLM-5-Turbo is the optimized variant available through Z.ai's API services.
Q: Where can I try GLM-5-Turbo?
A: You can access GLM-5-Turbo through Z.ai's platform, OpenRouter, or NVIDIA NIM. The open-source version is available on HuggingFace.
This article was originally published at CurateClick