GLM 4.5
Flagship MoE model with 355B parameters, ranked 3rd overall in benchmarks, excels in reasoning, coding and agentic tasks
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Fast fit check before you leave the page
Make the fit call first. Vendor pages are good at selling, but they rarely tell you where the product is a bad match.
- AI researchers and developers building agentic applications who need reliable function calling, reasoning transparency, and advanced tool usage capabilities
- Enterprise teams requiring unified AI capabilities across coding, analysis, and automation tasks with options for secure local deployment
- Open-source enthusiasts and organizations wanting powerful AI models without subscription dependencies or data privacy concerns
The product page does not make the tradeoffs obvious, so use the competitor and use-case sections below before deciding.
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Related article
GLM-4.5: Z.ai's 355B Parameter Beast That's Redefining AI Coding
GLM-4.5: Z.ai's flagship model with 355B parameters that unifies reasoning, coding, and agentic tasks into one powerhouse—and it's got open weights!
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GLM-4.5 represents Z.ai's ambitious attempt to create a unified AI model that excels across reasoning, coding, and agentic capabilities without sacrificing quality for breadth. This flagship mixture-of-experts (MoE) model comes in two powerful variants and has achieved remarkable results, ranking 3rd overall across 12 comprehensive benchmarks while offering both commercial API access and open-source weights for local deployment.
GLM-4.5 is Z.ai's latest flagship model featuring two variants: GLM-4.5 (355B total/32B active parameters) and GLM-4.5-Air (106B total/12B active parameters). Ranked 3rd overall across 12 benchmarks, it unifies reasoning, coding, and agentic capabilities with hybrid 'thinking' and 'non-thinking' modes. Key features include 128k context length, native function calling with 90.6% success rate, artifact generation, and superior web browsing performance (26.4% on BrowseComp). The model supports full-stack development, slides creation, and seamless integration with OpenAI-compatible APIs. Available through Z.ai platform with open-weights versions on HuggingFace and ModelScope for local deployment.
Why Choose GLM 4.5?
Dual-variant architecture: GLM-4.5 (355B total/32B active parameters) for maximum capability and GLM-4.5-Air (106B total/12B active parameters) for efficiency, both featuring 128k context length
Hybrid reasoning system with 'thinking' mode for complex analysis and 'non-thinking' mode for rapid responses, adapting to different use cases intelligently
Native function calling with industry-leading 90.6% success rate enables seamless integration with APIs, databases, and external tools for agentic workflows
Superior web browsing performance (26.4% on BrowseComp vs Claude-4-Opus at 18.8%) and artifact generation capabilities for full-stack development projects
Open-source commitment with model weights available on HuggingFace and ModelScope, enabling local deployment, fine-tuning, and custom applications without vendor lock-in
Detailed Use Cases for GLM 4.5
GLM-4.5's agentic capabilities with 90.6% function calling success rate make it ideal for building AI agents that navigate complex codebases, make architectural decisions with reasoning transparency, and execute multi-step development workflows across files and systems.
Leverage both 'thinking' mode for complex analysis requiring transparency and 'non-thinking' mode for rapid responses. Perfect for educational platforms, debugging assistants, and applications requiring both speed and explanatory depth.
Utilize artifact generation capabilities for creating games, simulations, websites, and presentations. The 128k context window holds entire codebases while maintaining coherent understanding across all project components.
Deploy GLM-4.5 weights locally for sensitive code processing, custom fine-tuning for domain expertise, or building proprietary tools without external API dependencies while maintaining full control over data.
Access cutting-edge MoE architecture with Muon optimizer and 'slime' reinforcement learning infrastructure. Perfect for AI researchers exploring advanced model architectures and training methodologies.
Who Should Use GLM 4.5?
AI researchers and developers building agentic applications who need reliable function calling, reasoning transparency, and advanced tool usage capabilities
Enterprise teams requiring unified AI capabilities across coding, analysis, and automation tasks with options for secure local deployment
Open-source enthusiasts and organizations wanting powerful AI models without subscription dependencies or data privacy concerns
Development teams working on complex projects that benefit from both rapid responses and deep reasoning modes within a single model
Startups and scale-ups seeking cost-effective AI solutions with transparent pricing and the flexibility to deploy locally as they grow
GLM 4.5 Comparisons & Alternatives
GLM-4.5 vs Claude 4 Sonnet agentic performance
GLM-4.5 vs GPT-4 reasoning capabilities
Z.ai GLM-4.5 open weights vs proprietary models
best unified AI model 2025
GLM-4.5 function calling vs competitors
open source AI coding models comparison
Developers compare GLM 4.5 with other vibe coding tools when they need a better workflow fit, not just a better landing page.
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Do one more comparison before you commit to GLM 4.5
Strong picks usually survive one more internal check. Read deeper, compare a neighbor, then leave for the vendor page if the fit still holds.