Question 1

What is GLM-5 AI?

Accepted Answer

GLM-5 is Zhipu AI's fifth-generation frontier large language model. It features approximately 745 billion total parameters with a Mixture-of-Experts (MoE) architecture that activates ~44B parameters per inference, delivering state-of-the-art performance in reasoning, coding, creative writing, and agentic AI tasks.

Question 2

What is GLM-5's architecture?

Accepted Answer

GLM-5 uses a Transformer decoder with MoE structure — 78 layers with 256 experts per layer, activating 8 per token. The first three layers are dense; subsequent layers employ DeepSeek-style Sparse Attention (DSA) and Multi-Token Prediction (MTP) for faster inference at 5.9% sparsity.

Question 3

How does GLM-5 compare to Claude Opus 4.5 and GPT models?

Accepted Answer

GLM-5 achieves competitive or superior scores on major benchmarks including MMLU, BBH, HumanEval, and AgentBench. It is widely recognized as the open-source SOTA for coding and agent tasks, with performance that approaches or matches Claude Opus 4.5 and top GPT-class models.

Question 4

What context length does GLM-5 support?

Accepted Answer

GLM-5 supports a 128K token context window, enabling long-document understanding, multi-turn dialogue with extensive history, and complex agent workflows that require processing large codebases or research papers in a single prompt.

Question 5

Is GLM-5 free to use?

Accepted Answer

Yes. GLM-5 offers free credits for new users on glm5.app. Paid plans include one-time credit packs and monthly or yearly subscriptions with up to 50% savings for higher usage needs.

Question 6

How can I access GLM-5 via API?

Accepted Answer

GLM-5 is available through the glm5.app API with OpenAI SDK-compatible format. It's also accessible via OpenRouter for unified multi-model API access.

Question 7

What languages does GLM-5 support?

Accepted Answer

GLM-5 has native support for English and Chinese with leading bilingual performance, plus 15+ additional languages including Japanese, Korean, French, German, Spanish, Portuguese, Russian, and Arabic.

Question 8

What is GLM-5's coding performance?

Accepted Answer

GLM-5 achieves state-of-the-art scores on HumanEval, BigCodeBench, and SWE-bench. It generates, debugs, and refactors code across 50+ programming languages.

Question 9

Can GLM-5 be used as an AI agent?

Accepted Answer

Yes. GLM-5 is designed for agentic AI workflows with built-in tool use, function calling, multi-turn planning, and self-correction capabilities for complex multi-step tasks.

Question 10

What is GLM-5's relationship to GLM-4.5 and GLM-4.7?

Accepted Answer

GLM-5 is the successor to GLM-4.5 and GLM-4.7 in Zhipu AI's model family. It significantly advances parameter scale (745B vs ~130B), architecture (full MoE vs partial), and benchmark performance.

Question 11

Does GLM-5 support image generation?

Accepted Answer

The GLM-5 ecosystem includes Seedream 5.0 for photorealistic 2K image generation — text-to-image, image editing, and multi-subject composition.

Question 12

Can I use GLM-5 for commercial projects?

Accepted Answer

Yes. GLM-5 generated content can be used for commercial purposes including software development, content creation, data analysis, and enterprise applications.

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Alex Rivier, Цифровой художник

Sarah Chen, UI/UX-дизайнер

Marcus Thorne, Креативный директор

Emily Watson, Иллюстратор-фрилансер

David Park, Геймдев-разработчик

Mia Johnson, Маркетинг-менеджер

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