LLM Reference

AutoGLM Phone 9B Multilingual

autoglm-phone-9b-multilingual

Researched today

Last refreshed 2026-05-22. Next refresh: weekly.

Open SourceMultimodalAgentsVisionJSON / Tool use

AutoGLM Phone 9B Multilingual is worth evaluating for agents, vision, and json / tool use when its provider route and context window match the workload.

Decision context: Agents task fit, 1 tracked provider route, and research from 2026-05-22.

Use it for

  • Teams evaluating agents, vision, and json / tool use
  • Workloads that can use a 66K context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Workloads where another current model has stronger sourced task evidence

Cheapest output

$0.138

Novita AI per 1M tokens

Provider routes

1

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-05-22

Researched today

fresh

Top use-case fit

Agents

Included by capability and metadata signals in the decision map.

Vision

Included by capability and metadata signals in the decision map.

JSON / Tool use

Included by capability and metadata signals in the decision map.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
Novita AI$0.035$0.138
Serverless

Benchmark peer barsfor Agents

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

AutoGLM Phone 9B Multilingual is an open-source phone agent model from Zhipu AI (ZAI), capable of autonomous mobile device interaction. It understands smartphone screens via multimodal perception and executes tasks across mainstream English and Chinese apps including Gmail, Google Maps, WeChat, and Taobao. Architecture identical to GLM-4.1V-9B-Thinking. Released as Open-AutoGLM on December 8, 2025.

AutoGLM Phone 9B Multilingual has a 64K-token context window.

AutoGLM Phone 9B Multilingual input tokens at $0.035/1M, output at $0.138/1M.

Capabilities

VisionMultimodalFunction CallingTool Use

Rankings

Specifications

FamilyAutoGLM
Released2025-12-08
Parameters9B
Context66K
ArchitectureDecoder Only
Specializationgeneral
Trainingpretrained

Created by

Chinese AI research lab developing GLM language models.

Beijing, China
Founded 2019
Website

Providers(1)