GLM-4.5

GLM-4.5 is an AI Models open-weight large language model that gives developers a commercially usable foundation for agentic reasoning, coding, tool use, and multilingual text workflows, with open weights available at no model license cost and hosted API pricing available through Z.AI and supported providers. It targets AI engineers, product teams, research labs, and enterprises that need self-hostable agent infrastructure rather than a closed hosted assistant.

GLM-4.5 is best understood as an agentic foundation model rather than a conventional voice-agent platform. The official material describes a Mixture-of-Experts architecture with 355 billion total parameters and 32 billion active parameters per forward pass, plus a lighter GLM-4.5-Air variant with 106 billion total parameters and 12 billion active parameters. Z.AI states that the series was pretrained on 15 trillion tokens, supports a 128K-token context window, and can generate up to 96K output tokens. The model is released under the MIT license, which is unusually permissive for a frontier-scale model and makes it suitable for commercial self-hosting, fine-tuning, internal copilots, and regulated deployments where data cannot be sent to a third-party SaaS endpoint.

Its strongest positioning is for agent-oriented software: tool invocation, web browsing, software engineering, structured JSON output, code-centric agents, and long-running workflows that benefit from a selectable Thinking Mode and Non-Thinking Mode. Z.AI reports a 63.2 aggregate score across 12 industry-standard benchmarks, with GLM-4.5-Air scoring 59.8, and says real-world agent coding was evaluated on 52 programming tasks across 6 domains. The website also lists 84.6% on MMLU, 26.4% on BrowseComp, and 90.6% tool success for coding-agent tasks, so buyers should evaluate it primarily on reasoning, coding, and tool reliability rather than pure conversational polish.

Compared with the 870+ AI tools in our directory, GLM-4.5 is unusual because its value is not packaged as a ready-made no-code voice agent builder. It is closer to DeepSeek-R1, Qwen3-Coder, Kimi-K2, Claude, or GPT-style model infrastructure: powerful, flexible, and developer-heavy. Compared to closed models, its main advantage is control through open weights and MIT licensing; compared to smaller open models, its main tradeoff is hardware complexity, with official full-context configurations calling for multi-H100 or multi-H200 deployments. API access may reduce the operations burden: Z.AI documentation lists GLM-4.5 API pricing at $0.60 per million input tokens, $0.11 per million cached input tokens, and $2.20 per million output tokens, while GLM-4.5-Air is listed at $0.20 per million input tokens, $0.03 per million cached input tokens, and $1.10 per million output tokens. Teams should still verify provider-specific pricing, rate limits, and regional availability before production use.