# GLM 5

According to OpenAITools.app telemetry verified on 2026-11-11, GLM 5 (glm5.net) is an AI platform indexed under Large Language Models (LLMs) generating 0 monthly visits with a month-over-month traffic delta of +0 (0%). Its primary geographic market is Global (— traffic share), and it operates on a Paid, Contact for Pricing, Free pricing model. Top competing alternatives by monthly volume include ChatGPT (6.05B visits/mo), Google Gemini (2.64B visits/mo), DeepSeek (372.76M visits/mo).

Zhipu AI's 745B-parameter MoE model for agentic reasoning, coding, and long-context work

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | GLM 5 |
| Handle | glm-5 |
| Official Domain | glm5.net |
| Website URL | https://glm5.net |
| Categories | Large Language Models (LLMs), AI Models, Open Source AI Models, AI Agent, AI Creative Writing, AI Code Generator |
| Pricing Model | Paid, Contact for Pricing, Free |
| Monthly Visits | 0 |
| MoM Traffic Change | 0 |
| MoM Growth Rate | 0% |
| Primary Market | Global |
| Market Share | — |
| Direct Visits | 0 |
| Organic Search Visits | 0 |
| Social Visits | 0 |
| Referral Visits | 0 |
| Email Visits | 0 |
| Review Score | 5 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Paid; Pricing: Contact for Pricing; Pricing: Free |
| Tags | Large Language Model, Mixture of Experts, Agentic AI, Zhipu AI, Huawei Ascend, Open Source AI, MindSpore, Artificial Intelligence |

## Overview

GLM 5 represents Zhipu AI's fifth-generation flagship model, positioned around agentic intelligence, advanced multi-step reasoning, and strong coding and creative writing output. Its architecture is a Mixture of Experts setup with approximately 745 billion total parameters and 44 billion active parameters per inference, using 256 experts with 8 activated per token. A sparse attention mechanism enables context windows of up to roughly 200K tokens, letting the model reason over long documents, research papers, and large codebases in a single pass.

A distinguishing trait of the GLM line is its open-source track record. Earlier GLM releases have been published for commercial reuse, and GLM 5 is widely expected to follow with permissive open-weight licensing, which would make frontier-grade capability deployable on private infrastructure. The model was also trained on Huawei Ascend hardware with the MindSpore framework, an approach that reduces reliance on US-manufactured accelerators and matters for organizations with data-sovereignty or supply-chain concerns.

Access to GLM 5 is generally handled through Zhipu's own platform and through third-party inference API providers, so developers can route requests without standing up their own GPUs. Cost is broadly framed as economical relative to closed frontier models, though exact rates vary by provider and tier. This website, glm5.net, is an independent information resource rather than an official vendor property; anyone comparing plans or acquiring API keys should confirm current details on Zhipu's official channels.

## Pricing & Plans

Pricing depends on the access route rather than a single published plan: Zhipu's own platform, third-party inference APIs, and self-hosting of open weights if those are released. This independent site does not publish its own price list, and no official tiered pricing page is available here, so treat quoted figures as indicative and verify current rates with the provider you use.

## Key Features & Capabilities

- **745B Mixture of Experts architecture:** Roughly 745 billion total parameters with about 44 billion active per token across 256 experts, balancing frontier scale against inference cost.
- **Long-context reasoning:** Sparse attention supports context windows of up to about 200K tokens, suitable for whole codebases, long reports, and extended transcripts.
- **Agentic and tool-using behavior:** Designed for autonomous planning, multi-step workflows, web browsing, and tool invocation with limited human hand-holding.
- **Strong coding assistance:** Targets code generation, debugging, refactoring, and multi-language comprehension across the software lifecycle.
- **Open-weight lineage:** Follows a family with a history of permissively licensed releases, which positions it well for private and self-hosted deployment.

## Primary Use Cases

- **Code generation and review (Software engineer):** Draft functions, explain unfamiliar modules, and get debugging suggestions across long repositories that fit in the extended context window.
- **Agent and automation backends (AI product developer):** Build multi-step agents that plan, call tools, and browse the web, using GLM 5 as the reasoning core behind an automation workflow.
- **Long-document analysis (Researcher or analyst):** Summarize and cross-reference lengthy papers, contracts, or reports in a single session instead of chunking them manually.
- **Drafting and localization (Content and marketing team):** Produce long-form drafts, marketing copy, and translated variants with consistent tone across multiple languages.

## Strengths

- Frontier-scale MoE efficiency: large total capacity with a comparatively small active parameter footprint per token.
- Very long context window supports whole-document and whole-repository style tasks.
- Open-weight expectations make private, self-hosted deployment plausible for sensitive workloads.
- Strong emphasis on agentic behavior, which suits automation and orchestration pipelines.

## Limitations

- Access is split across platforms and third-party APIs, so availability and rates vary by provider.
- Some details, including licensing and pricing, are forward-looking and may change quickly.
- This page is an independent resource, not the official vendor, so it is not the place to purchase or manage access.

## Frequently Asked Questions

### Is glm5.net the official Zhipu AI website?
No. It is an independent third-party information site that documents the GLM 5 model. For official access, licensing terms, and support, use Zhipu AI's own channels.

### What makes GLM 5 different architecturally?
It uses a Mixture of Experts design with roughly 745 billion total parameters and about 44 billion active per token, plus sparse attention that allows very long context windows of up to around 200K tokens.

### How can developers get access to GLM 5?
Typically through Zhipu's platform or via third-party inference API providers. Exact availability, rate limits, and prices differ by provider, so check current details before committing to a plan.

### Is GLM 5 open source?
The GLM family has a strong open-source record, and permissive open-weight release has been anticipated for GLM 5. Treat that as expected rather than guaranteed and confirm the actual license before production use.

### What is GLM 5's monthly traffic and growth trend?
GLM 5 currently receives 0 monthly visits, with a month-over-month traffic change of +0 (0% growth rate). Its primary source market is Global (— share), including 0 direct visits/mo and 0 organic search visits/mo.

### Is GLM 5 free? What is its pricing model?
GLM 5 operates on a Paid, Contact for Pricing, Free pricing model. Pricing depends on the access route rather than a single published plan: Zhipu's own platform, third-party inference APIs, and self-hosting of open weights if those are released. This independent site does not publish its own price list, and no official tiered pricing page is available here, so treat quoted figures as indicative and verify current rates with the provider you use. Supported billing and checkout platforms include: not listed.

### What are the best GLM 5 alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to GLM 5 are: 1. ChatGPT (6.05B visits/mo); 2. Google Gemini (2.64B visits/mo); 3. DeepSeek (372.76M visits/mo); 4. OpenAI Platform (234.68M visits/mo); 5. Google AI Studio (112.62M visits/mo).

### Which platforms and core AI capabilities does GLM 5 support?
GLM 5 is classified under Large Language Models (LLMs), AI Models, Open Source AI Models, AI Agent, supports the following platforms: Website, and its core capability tags include: Large Language Model, Mixture of Experts, Agentic AI, Zhipu AI, Huawei Ascend, Open Source AI.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | Freemium | [Compare](https://openaitools.app/compare/chatgpt-4-vs-glm-5) |
| [Google Gemini](https://openaitools.app/tool/gemini-gemini-advanced) | 2,637,398,242 | Freemium | [Compare](https://openaitools.app/compare/gemini-gemini-advanced-vs-glm-5) |
| [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | Freemium | [Compare](https://openaitools.app/compare/deepseek-vs-glm-5) |
| [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | Paid | [Compare](https://openaitools.app/compare/glm-5-vs-openai) |
| [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | Freemium | [Compare](https://openaitools.app/compare/glm-5-vs-google-ai-studio) |
| [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | Freemium | [Compare](https://openaitools.app/compare/glm-5-vs-perplexity-ai) |
| [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | Freemium | [Compare](https://openaitools.app/compare/glm-5-vs-qwen-4) |
| [Airtable AI Assistant](https://openaitools.app/tool/airtable-ai-assistant) | 24,917,910 | Freemium, Free Trial, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/airtable-ai-assistant-vs-glm-5) |
| [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | Paid | [Compare](https://openaitools.app/compare/glm-5-vs-openrouter-ai) |
| [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | Free | [Compare](https://openaitools.app/compare/glm-5-vs-kimi-chat) |
| [Outlier AI](https://openaitools.app/tool/outlier-ai) | 10,372,036 | Paid | [Compare](https://openaitools.app/compare/glm-5-vs-outlier-ai) |
| [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | Free | [Compare](https://openaitools.app/compare/glm-5-vs-ollama) |

---
Source: https://openaitools.app/tool/glm-5