Open-model flexibility
GLM-5 is appealing for teams that prioritize open ecosystem workflows and deployment flexibility.
GLM-5
GLM-5 achieves open SOTA performance in coding and agent capabilities, with real-world usage experience approaching Claude Opus 4.5. Designed specifically for complex system engineering and long-range agent tasks with advanced deep thinking mode.
Open Source SOTA
#1
Open-Source Coding
Pioneering
Max Output
65K tokens
Deep Thinking
Enabled
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Core Capabilities
What GLM-5 Can Do
Advanced capabilities optimized for complex system engineering and long-range agent tasks.
glm-5
Intelligent Coding
Best-in-class open-source coding performance for complex development workflows.
Agent Excellence
Optimized for long-horizon agent tasks with stronger reasoning and planning.
System Engineering
Excels at architecture design, scalability planning, and large-scale software systems.
Benchmarks
Benchmark Performance
Leading performance in coding, agent tasks, and complex reasoning.
Reasoning
91.2%
MMLU
Strong multi-domain reasoning performance across 57 subjects.
Coding
SOTA
Agent Coding
Leading performance in agent-based coding tasks
Comparison
Comparable
vs Claude Opus 4.5
Real-world experience approaches Claude Opus 4.5
Systems
Expert
Complex Engineering
Strong performance on complex engineering problems
Agents
Optimized
Long-range Agents
Improved results on long-horizon agent workflows
Reasoning
Advanced
Multi-step Reasoning
Excellent performance on multi-step reasoning tasks
Engineering
Top-tier
Code Generation
Competitive with frontier coding models on complex programming tasks.
Design
Professional
Architecture Design
Expert-level system architecture design
Key Features
GLM-5 Key Features
A complete feature set for developers building complex systems and agentic applications.
Deep Thinking Mode
Advanced reasoning with deep thinking enabled for complex problem solving.
65K Output
Supports up to 65K tokens output for large tasks without fragmentation.
Streaming Response
Real-time streaming for interactive conversations and instant feedback.
Agent Optimization
Enhanced planning, tool use, and orchestration for agent workflows.
Open Source Innovation
Built on open principles with transparent development and community momentum.
Complex Reasoning
Strong multi-step reasoning and logical analysis across disciplines.
Why Use
Why use GLM-5
An open model choice for teams that need agent engineering capability, deeper reasoning control, and practical cost efficiency.
Deep thinking for complex tasks
Its deep thinking mode supports harder multi-step engineering and analysis scenarios with better reasoning depth.
Competitive cost for scale
Teams can reserve higher-cost reasoning mode for critical steps while keeping baseline operations efficient.
How to Use
How to use GLM-5 effectively
Use a tiered execution strategy to balance quality, speed, and token cost in production workflows.
Classify task complexity first
Route routine tasks to standard mode and reserve deep thinking mode for high-risk reasoning steps.
Design agent checkpoints
Break agent workflows into tool calls, validation gates, and rollback conditions to reduce failure cascades.
Track quality-cost metrics
Measure completion quality, latency, and token spend by scenario to refine model routing over time.
Related models
Compare other frontier models on Fluxchat.
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Claude Sonnet 4.6
Anthropic's strongest Sonnet with near Opus-level intelligence
Claude Opus 4.6
Anthropic's most intelligent model with 1M context
Gemini 3.1 Pro
Google's most advanced reasoning model with 77.1% ARC-AGI-2 & 1M context
Frequently Asked Questions
Have more questions? Contact our support team.
Experience GLM-5 on Fluxchat
Try the next-generation open SOTA model for coding and agent workflows on Fluxchat.