LLM Reference
Zhipu AI GLM API

Zhipu AI GLM API

Researched 37d ago

Zhipu AI

AgentsVisionClassificationJSON / Tool use

Zhipu AI GLM API offers 16 tracked models (0 with output token pricing). This catalog covers agents, vision, and classification; open any model detail page for benchmarks, batch tiers, and migration prompts.

Covers 4 workload areas across 16 tracked models; last verified 2026-07-11.

Use it for

  • Operators routing agents, vision, and classification workloads through this API

Do not use it for

  • Final benchmark picks without opening the relevant model detail page
  • Strict price-per-token comparisons until output pricing is sourced

Tracked models

16

Models available through this provider

Priced output routes

0

Output pricing not yet tracked

Cheapest output

Unknown

Output pricing not yet tracked

Batch-ready models

0

No batch pricing tracked

Latest model release

Unknown

Release date of the newest tracked model

Freshness

2026-07-11

Researched 37d ago

aging

Information

Models16
CompanyZhipu AI

Zhipu AI is a Chinese AI company offering API access to the GLM series of large language models for text generation and analysis.

Catalog freshness

No confirmed release dates yet for the models tracked on this provider.

Where this host wins

  • Agentic: 1 tracked model with BFCL, tau-bench, and SWE-bench tool-use coverage.
  • Vision: 13 tracked models with multimodal benchmark coverage.
  • Classification: 1 tracked model with MMLU-class moderation/safety coverage.
  • JSON/tool-use: 2 tracked models with BFCL / Nexus strict-JSON routing coverage.

Getting started

Official product, docs, and pricing links — confirm quotas and regions in the vendor docs.

Compliance notes

No verified compliance claims (SOC 2, ISO, HIPAA) tracked for this provider yet — check the vendor's trust center for current certifications.

Platform Overview

Zhipu AI is a Chinese AI company offering API access to the GLM series of large language models for text generation and analysis.

Compare per-model pricing, input and output token costs, batch availability, and benchmark coverage.

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