Zhipu AI • General Purpose

Use GLM-4.6 for Free

GLM-4.6 represents the sixth iteration of Zhipu's GLM family — refined reasoning, improved code generation, and enhanced bilingual capabilities built on the proven GLM architecture.

3,000+ registered users 100+ daily active No credit card required No API key needed Released 2025 32B parameters 128K tokens context

What Is GLM-4.6? — Complete Guide

GLM-4.6 is an AI model released 2025 by Zhipu AI, a leading organization in large language model research. GLM-4.6 — strong Chinese/English bilingual model with tool use, function calling, and agentic capabilities. With 32B and a 128K tokens context window, GLM-4.6 is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.

GLM-4.6 uses a dense transformer architecture with 32B of parameters, all of which are active for every input token. Dense architectures provide predictable, consistent behavior across diverse task types — there are no "cold" experts to warm up, and quality is uniform across prompts. Zhipu AI's training pipeline combined large-scale pretraining on a large-scale multilingual pretraining dataset with supervised fine-tuning and alignment techniques (RLHF or DPO), producing GLM-4.6's characteristic balance of capability, helpfulness, and safety.

As of 2026-10-16, GLM-4.6 by Zhipu AI demonstrates measurable performance on standard AI evaluation benchmarks. On CMMLU — which tests world knowledge across 57 academic subjects from elementary to professional level — it achieves 82.1%. For software engineering tasks, GLM-4.6 scores 74.3% on HumanEval, which tests ability to write correct functions from docstrings. These scores place GLM-4.6 — at 32B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

The primary strengths of GLM-4.6 are: GLM-4.6 improvements — enhanced reasoning and instruction following; Strong bilingual performance. These make it particularly well-suited for Latest Zhipu AI general-purpose Chinese-English applications. Users working on complex, multi-step problems benefit most from GLM-4.6's ability to maintain coherence across long inputs and produce structured, verifiable outputs.

Like all current AI systems, GLM-4.6 has limitations: Still primarily Chinese-optimized relative to frontier English models; Zhipu commercial license for enterprise deployment; Less international benchmarking than Western frontier models. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. Zhipu AI continues to improve GLM-4.6 through ongoing research.

GLM-4.6 is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making GLM-4.6 accessible to students, researchers, developers, and early-stage teams globally.

GLM-4.6 Capabilities

General Purpose
Versatile across all tasks

GLM-4.6 — Technical Specifications

Provider
Zhipu AI
Parameters
32B
Context Window
128K tokens
Released
2025
License
Apache 2.0
Origin
China
Knowledge Cutoff
2025
Architecture: GLM-4.6 — next generation Zhipu AI model
Open Source: Yes — model weights publicly available

Benchmark Performance — GLM-4.6

CMMLU
Massive Multitask Language Understanding — tests world knowledge across 57 academic subjects from elementary to professional level
82.1%
MMLU
Massive Multitask Language Understanding — tests world knowledge across 57 academic subjects from elementary to professional level
78.5%
HumanEval
OpenAI's Python coding benchmark — tests ability to write correct functions from docstrings
74.3%

As of 2026-10-16, GLM-4.6 by Zhipu AI demonstrates measurable performance on standard AI evaluation benchmarks. On CMMLU — which tests world knowledge across 57 academic subjects from elementary to professional level — it achieves 82.1%. For software engineering tasks, GLM-4.6 scores 74.3% on HumanEval, which tests ability to write correct functions from docstrings. These scores place GLM-4.6 — at 32B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

Best Use Cases

Latest Zhipu AI general-purpose Chinese-English applications

Why Choose GLM-4.6?

GLM-4.6 improvements — enhanced reasoning and instruction following
Strong bilingual performance

Strengths

GLM-4.6 improvements — enhanced reasoning and instruction following
Strong bilingual performance

Limitations

Still primarily Chinese-optimized relative to frontier English models
Zhipu commercial license for enterprise deployment
Less international benchmarking than Western frontier models

Architecture & Technical Design

GLM-4.6 — next generation Zhipu AI model

The training pipeline for GLM-4.6 involves multiple stages: large-scale pretraining on diverse multilingual text and code corpora to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. Zhipu AI's research team — based in China — has optimized GLM-4.6 for the specific capability profile described above.

Inference efficiency: GLM-4.6 at 32B is designed to deliver quality outputs at practical serving speeds. Its 128K tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.

How to Use GLM-4.6 on LITHOVEX AI

Getting started with GLM-4.6 on LITHOVEX AI takes under two minutes. Follow these steps:

1. Create your free account — Visit the LITHOVEX AI sign-up page and register with your email. No credit card. Takes about 30 seconds.
2. Select GLM-4.6 — Search for "GLM-4.6" in the model browser or browse by Zhipu AI. Click to open the chat interface.
3. Start your first conversation — Type your question or task. Paste code, ask for analysis, or upload documents directly.
4. Refine and iterate — Ask follow-up questions, request revisions, or try alternative approaches. GLM-4.6 maintains full conversation context.
5. Compare with other models — Switch to any of LITHOVEX AI's 200+ models to compare outputs and find the best fit for your task — no additional subscriptions needed.

For best results with GLM-4.6: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions.

Real-World Use Cases — GLM-4.6

Example 1

Chinese enterprise AI with improved general capability

Example 2

Bilingual software development assistance

Example 3

Academic and research AI for Chinese institutions

Example 4

Chinese-market enterprise chatbots and assistants

Example 5

Code generation and review in Chinese and English

About Zhipu AI

Zhipu AI (THUDM — Tsinghua University Data Mining Group) is a Beijing-based AI research company founded in 2019, spun out of Tsinghua University — China's top engineering institution. Zhipu AI developed the GLM (General Language Model) family, pioneering autoregressive blank infilling as an alternative to GPT-style pretraining. GLM-4 and GLM-5 models excel at bilingual Chinese-English processing, business document handling, and agentic tool-use workflows. Zhipu's commercial products include ChatGLM and CodeGeeX, widely adopted in Chinese enterprise. As of 2024, the company has raised over $400 million in funding and employs hundreds of researchers.

Funding: $400M+ raised

Founded: 2019, headquartered in China.

Visit the official Zhipu AI website →

Why pay when GLM-4.6 is free on LITHOVEX AI?

Official/Direct Access

GLM-4.6 is a GLM-series model from Zhipu AI and Tsinghua's KEG Lab — powerful general-purpose model. Released for research use; commercial licensing available via Zhipu AI. Zhipu AI API (api.zhipu.ai): ~$0.30/M input tokens, ~$0.60/M output tokens. Download weights from HuggingFace for local research deployment at no cost. On LITHOVEX AI, GLM-4.6 is available for free — no Zhipu API key or account required.
Subscription or per-token billing required
API key setup and billing configuration
Usage limits and overage fees
Credit card required upfront
Separate subscriptions for each model

LITHOVEX AI — Free Account

On LITHOVEX AI, access GLM-4.6 and 200+ other frontier models with a single free account — no API key, no subscription, no credit card.
Free account access — no subscription required
No API key required
No credit card required
Same model, identical output quality
200+ models under one account, $0

How GLM-4.6 Compares to Alternatives

GLM-4.6 by Zhipu AI competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.

GLM-4.6 vs GLM-4.5
Zhipu AI • Not publicly disclosed
Metric GLM-4.6 GLM-4.5
Parameters 32B Not publicly disclosed
Context Window 128K tokens 128K tokens
Open Source Yes Yes
Reasoning — Yes
Vision / Multimodal — —
CMMLU 82.1% —
MMLU 78.5% 85.0%
HumanEval 74.3% —
Where GLM-4.5 wins
Extended chain-of-thought reasoning
Specialized code generation
Stronger on MMLU
Where GLM-4.6 wins
GLM-4.6 excels in Latest Zhipu AI general-purpose Chinese-English applications
GLM-4.6's Zhipu AI training gives it distinct strengths
Both are available free on LITHOVEX AI
Verdict: GLM-4.6 and GLM-4.5 serve overlapping needs. Test both free on LITHOVEX AI to find the better fit for your workflow.
GLM-4.6 vs GLM-5
Zhipu AI • Not publicly disclosed
Metric GLM-4.6 GLM-5
Parameters 32B Not publicly disclosed
Context Window 128K tokens 128K tokens
Open Source Yes Yes
Reasoning — Yes
Vision / Multimodal — —
CMMLU 82.1% —
MMLU 78.5% 88.0%
HumanEval 74.3% —
Where GLM-5 wins
Extended chain-of-thought reasoning
Specialized code generation
Stronger on MMLU
Where GLM-4.6 wins
GLM-4.6 excels in Latest Zhipu AI general-purpose Chinese-English applications
GLM-4.6's Zhipu AI training gives it distinct strengths
Both are available free on LITHOVEX AI
Verdict: GLM-4.6 and GLM-5 serve overlapping needs. Test both free on LITHOVEX AI to find the better fit for your workflow.

Both GLM-4.6 and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.

Download & Self-Host GLM-4.6

GLM-4.6 is released under Apache 2.0, which means you can download and run it on your own hardware. Below are the quickest ways to get started.

Hardware Requirements

Format File Size VRAM RAM
FP16 (Full precision) ~68GB 24GB+ 24GB+
GPTQ / AWQ 4-bit ~34GB 12GB+ 12GB+
GGUF Q4_K_M (CPU-OK) ~17GB CPU-only OK 12GB+

Quick Start — Ollama

# Pull and run GLM-4.6
ollama pull glm-4-6
ollama run glm-4-6

Quick Start — Python / HuggingFace Transformers

# Install and load GLM-4.6
from
transformers
import
AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("THUDM/GLM-4.6")
tokenizer = AutoTokenizer.from_pretrained("THUDM/GLM-4.6")
Skip the hardware setup entirely.

LITHOVEX AI runs GLM-4.6 on cloud infrastructure, so you can use it instantly in your browser without downloading anything, configuring drivers, or managing VRAM. Create a free account and start in under 60 seconds.

HuggingFace Model Card Ollama Library

Global Availability & International Use

GLM-4.6 extends GLM's dominance in Chinese enterprise AI with improved English-language capabilities, making it increasingly relevant for international deployments. Strong adoption in Asian markets from Japan to Singapore where Chinese-language AI quality is important.

GLM-4.6 — Version History & Updates

GLM-4.6 by Zhipu AI has the following version history and notable updates:

2025 — GLM-4.6 released by Zhipu AI. Initial public release.
As of June 2026 — GLM-4.6 remains actively available on LITHOVEX AI. Check the official Zhipu AI page for the latest updates and improvements.

For the complete changelog and latest release notes, visit the official Zhipu AI model page.

Frequently Asked Questions — GLM-4.6

What is GLM-4.6?
GLM-4.6 is an advanced AI model developed by Zhipu AI headquartered in China. GLM-4.6 — strong Chinese/English bilingual model with tool use, function calling, and agentic capabilities. It uses GLM-4.6 — next generation Zhipu AI model, with 32B of learned knowledge and supports 128K tokens. As of 2026-10-16, GLM-4.6 is available on LITHOVEX AI with a free account — no API key, no credit card, and no installation required. You can start using it from any modern web browser in under two minutes.
Can I use GLM-4.6 for free on LITHOVEX AI?
Yes — LITHOVEX AI provides free access to GLM-4.6 through a free account. Direct API access from Zhipu AI requires billing setup, API key management, and careful token-usage monitoring. LITHOVEX AI removes all those barriers: sign up once with your email address, and you immediately unlock GLM-4.6 alongside 200+ other frontier AI models. Free accounts include generous daily message limits designed for real professional and research workflows.
What are the best use cases for GLM-4.6?
GLM-4.6 is optimally suited for Latest Zhipu AI general-purpose Chinese-English applications. Zhipu AI designed and trained this model specifically to excel at tasks that require high-quality natural language understanding and generation. Professionals report strong results in .
How large is the context window of GLM-4.6?
GLM-4.6 supports 128K tokens. A context window determines how much text the model can read and reason over in a single session — from conversation history and code files to legal documents and research papers. At 128K tokens, GLM-4.6 can process roughly 96,000 words (about 300 pages) in a single conversation. The full context window is available on LITHOVEX AI.
What makes GLM-4.6 different from other AI models?
GLM-4.6 stands out because of GLM-4.6 improvements — enhanced reasoning and instruction following. Strong bilingual performance. Built by Zhipu AI, it is trained on a large-scale multilingual dataset using a carefully optimized training pipeline combining large-scale pretraining with instruction tuning and alignment. Its recorded benchmark scores — CMMLU: 82.1%, MMLU: 78.5%, HumanEval: 74.3% — validate its competitive position. These qualities make it a strong choice compared to other frontier models on LITHOVEX AI, particularly for users prioritizing GLM-4.6 improvements — enhanced reasoning and instruction following.
How does GLM-4.6 perform on benchmarks?
GLM-4.6 has been evaluated on independent AI benchmarks with the following results: CMMLU — 82.1%; MMLU — 78.5%; HumanEval — 74.3%. Benchmarks measure specific capabilities: MMLU tests breadth of world knowledge, HumanEval tests Python code generation accuracy, MATH and AIME test mathematical reasoning, and IFEval tests instruction-following reliability. Real-world performance on your specific tasks may differ from controlled benchmark conditions.
Is GLM-4.6 open-source?
Yes — GLM-4.6 is released under the Apache 2.0 license. This means you can download the model weights, run them locally, fine-tune on your own data, and even use the model commercially (subject to license terms). The Apache 2.0 is one of the most permissive open licenses available, allowing broad commercial and research use with minimal restrictions. Weights are available on HuggingFace.
What is the architecture of GLM-4.6?
GLM-4.6 is built on GLM-4.6 — next generation Zhipu AI model. This is a dense transformer architecture where all 32B are active for every input token. Dense models provide predictable, consistent quality across all task types. Zhipu AI's training pipeline — large-scale pretraining, supervised fine-tuning, and alignment — produces the characteristic capabilities GLM-4.6 is known for.
Is GLM-4.6 safe for enterprise and professional use?
GLM-4.6 has undergone instruction tuning and alignment to reduce harmful, biased, or factually incorrect outputs. For enterprise use: all LITHOVEX AI requests travel over encrypted HTTPS connections. For organizations with strict compliance requirements (HIPAA, SOC 2, GDPR, PDPA), review both Zhipu AI's data processing terms and LITHOVEX AI's privacy policy. For workloads involving regulated personal data or proprietary intellectual property, consider a self-hosted deployment using the open model weights (which are available under the Apache 2.0 license). LITHOVEX AI's free tier is appropriate for professional research, development, and content-generation workflows.
How does GLM-4.6 compare to GPT-4o and Claude?
GLM-4.6 and GPT-4o/Claude compete in different dimensions. GPT-4o excels at multimodal reasoning and has the most extensive ecosystem integrations; Claude models are known for accuracy, long-context coherence, and instruction-following nuance. GLM-4.6 — by Zhipu AI — offers GLM-4, which makes it particularly attractive for organizations needing open weights and cost control. The best model for any given task depends on your specific workflow. LITHOVEX AI gives you access to all these models so you can compare them directly on your actual tasks without paying multiple API subscriptions.
What training data was GLM-4.6 trained on?
GLM-4.6 was trained on a large-scale multilingual dataset. The model's knowledge cutoff date is 2025, meaning it has no information about events after that date unless you provide it in your prompt. Like all large language models, GLM-4.6's training data shapes its factual knowledge, language capabilities, and inherent biases. For the most accurate and current information on specific topics, always verify critical facts from authoritative sources.
Can I use GLM-4.6 on mobile?
Yes. LITHOVEX AI is fully responsive and optimized for mobile browsers on iOS and Android. GLM-4.6 runs entirely server-side — your phone only needs a stable internet connection and a modern browser (Chrome, Safari, Firefox). The interface automatically adapts to smaller screens, making it practical for quick tasks, brainstorming, code review, and document analysis from anywhere in the world.
What programming languages does GLM-4.6 support for coding?
GLM-4.6 can assist with common programming languages like Python, JavaScript, and SQL, though it is primarily optimized for Latest Zhipu AI general-purpose Chinese-English applications. For intensive software engineering workflows, consider pairing it with a code-specialized model available on LITHOVEX AI.
Is there a usage limit when using GLM-4.6 on LITHOVEX AI?
Free accounts on LITHOVEX AI include generous daily message limits designed to accommodate real professional workflows. You will not hit a limit in the middle of a normal working session. Premium accounts (at $40/month) offer higher or unlimited throughput for power users, API builders, and teams with production workloads. Unlike direct API access — which charges per token and requires prepayment — LITHOVEX AI's free tier lets you use GLM-4.6 extensively before committing to any paid plan.
Who built GLM-4.6 and who is Zhipu AI?
GLM-4.6 was created by Zhipu AI headquartered in China, founded in 2019. Zhipu AI (THUDM — Tsinghua University Data Mining Group) is a Beijing-based AI research company founded in 2019, spun out of Tsinghua University — China's top engineering institution. Zhipu AI developed the GLM (General Language Model) family, pioneering autoregressive blank infilling as an alternative to GPT-style pretraining. GLM-4 and GLM-5 mode... Their work has contributed significantly to the open AI ecosystem, and GLM-4.6 represents one of their most notable contributions.
What alternatives to GLM-4.6 are available on LITHOVEX AI?
LITHOVEX AI offers 200+ AI models. If GLM-4.6 does not perfectly fit your workflow, strong alternatives include other frontier models on LITHOVEX AI. These share similar capabilities but may differ in context window size, speed, parameter count, or task specialization. You can switch between models mid-session on LITHOVEX AI and compare outputs directly — making it easy to find the best model for your specific needs without paying multiple API subscriptions.
Does GLM-4.6 support image or vision inputs?
GLM-4.6 is a text-only model and does not process image inputs. For vision tasks, LITHOVEX AI offers several multimodal alternatives — including Qwen VL, LLaVA, Gemma 3, and IDEFICS2 — all accessible with the same free account.
Can I download GLM-4.6 and run it locally?
Yes — GLM-4.6 is available for download under the Apache 2.0 license. You can find the model weights on HuggingFace. For local deployment, the easiest method is Ollama — run "ollama pull glm-4.6" to download and "ollama run" to start it. LM Studio also supports GLM-4.6 for a desktop GUI experience. Hardware requirements depend on the quantization format: FP16 needs 24GB+, while 4-bit quantized GGUF files run with lower VRAM. For users who don't want to manage local hardware, LITHOVEX AI provides free cloud access to GLM-4.6 with no setup required.
How much does GLM-4.6 cost to use?
On LITHOVEX AI, GLM-4.6 is free — create a free account and start chatting with no credit card required. Through official channels, Apache 2.0 — free. For most individual users, researchers, and small teams, LITHOVEX AI's free tier provides sufficient access. Enterprise teams needing higher throughput or API integration can upgrade to LITHOVEX AI Premium at $40/month, which unlocks all 200+ models with high-volume access.

Open-source AI at its finest — use GLM-4.6 free on LITHOVEX AI.

GLM-4.6 is openly licensed and available for anyone to use. LITHOVEX AI removes all the setup friction — one free account, instant access.

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