Use AutoGLM Phone 9B for Free

AutoGLM Phone 9B is an AI model released 2025 by Zhipu AI, a leading organization in large language model research. Phone/device automation specialist — designed for mobile UI interaction, app control, and device automation tasks. With 9B and a a large context window context window, AutoGLM Phone 9B 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.

AutoGLM Phone 9B uses a dense transformer architecture with 9B 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 AutoGLM Phone 9B's characteristic balance of capability, helpfulness, and safety.

As of 2026-10-16, AutoGLM Phone 9B by Zhipu AI demonstrates measurable performance on standard AI evaluation benchmarks. On AndroidWorld — which measures model performance on specialized evaluation tasks — it achieves 36.2%. These scores place AutoGLM Phone 9B — at 9B 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 AutoGLM Phone 9B are: Phone/mobile UI agent — controls Android and iOS interfaces autonomously; 9B multilingual scale; Novel use case: AI that operates phones via GUI interaction. These make it particularly well-suited for Mobile automation and phone agent applications, Agentic AI for mobile testing and automation. Users working on complex, multi-step problems benefit most from AutoGLM Phone 9B's ability to maintain coherence across long inputs and produce structured, verifiable outputs.

Like all current AI systems, AutoGLM Phone 9B has limitations: Specialized for phone automation — not a general LLM; Edge case reliability varies. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. Zhipu AI continues to improve AutoGLM Phone 9B through ongoing research.

AutoGLM Phone 9B 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 AutoGLM Phone 9B accessible to students, researchers, developers, and early-stage teams globally.

As of 2026-10-16, AutoGLM Phone 9B by Zhipu AI demonstrates measurable performance on standard AI evaluation benchmarks. On AndroidWorld — which measures model performance on specialized evaluation tasks — it achieves 36.2%. These scores place AutoGLM Phone 9B — at 9B 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.

GLM-based phone agent, 9B, multilingual for mobile automation

The training pipeline for AutoGLM Phone 9B 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 AutoGLM Phone 9B for the specific capability profile described above.

Inference efficiency: AutoGLM Phone 9B at 9B is designed to deliver quality outputs at practical serving speeds. Its context capacity supports complex multi-turn conversations without quality degradation.

Getting started with AutoGLM Phone 9B on LITHOVEX AI takes under two minutes. Follow these steps:

For best results with AutoGLM Phone 9B: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions.

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 →

AutoGLM Phone 9B 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.

Both AutoGLM Phone 9B 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.

AutoGLM Phone 9B is released under GLM Model License, which means you can download and run it on your own hardware. Below are the quickest ways to get started.

AutoGLM Phone 9B addresses a uniquely Asian market need: smartphone-centric AI automation in markets like China, Japan, and Southeast Asia where mobile-first digital life is dominant. Its ability to operate phone UIs autonomously represents a new frontier in mobile AI agents.

AutoGLM Phone 9B by Zhipu AI has the following version history and notable updates:

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