Models.dev

An open-source database of AI models

GLM-4.5

Hybrid-reasoning GLM release that made the 4.5 line broadly useful

zhipuai/glm-4.5
Lab
Zhipu AI
Family
glm
Providers
14
Context
131,072
Output limit
98,304
Knowledge
2025-04
Release
2025-07-28
Updated
2025-07-28
Weights
Open
Input
Output types
Capabilities
tools, reasoning, temperature

Providers

14
Provider Lab Model ID Context Output Price Reasoning Tool Call Structured Temperature
AbacusZhipu AIzai-org/GLM-4.5131,07296,000$0.60 / $2.20YesYes-Yes
DevPass (LLM Gateway)Zhipu AIglm-4.5131,00098,304$0.60 / $2.20YesYes-Yes
Hugging FaceZhipu AIzai-org/GLM-4.5131,07298,304$0.60 / $2.20YesYes-Yes
ImpossiblZhipu AIzai/glm-4.5131,07298,304$0.60 / $2.20YesYes-Yes
Kilo GatewayZhipu AIz-ai/glm-4.5131,07298,304$0.60 / $2.20YesYesNoYes
LLM GatewayZhipu AIembercloud/glm-4.5131,00096,000$0.60 / $2.20NoYesNoYes
LLM GatewayZhipu AIzai/glm-4.5128,00098,304$0.60 / $2.20YesYesNoYes
Merge GatewayZhipu AIzai/glm-4.5128,00098,304$0.60 / $2.20YesYesNoYes
NanoGPTZhipu AIz-ai/glm-4.5128,00065,536$0.30 / $1.30NoNoNoYes
NanoGPTZhipu AIz-ai/GLM-4.5:thinking128,00065,536$0.30 / $1.30YesNoNoYes
OpenRouterZhipu AIz-ai/glm-4.5131,07298,304$0.60 / $2.20YesYesNoYes
OrcaRouterZhipu AIz-ai/glm-4.5131,07298,304$0.60 / $2.20YesYes-Yes
Vercel AI GatewayZhipu AIzai/glm-4.5128,00096,000$0.60 / $2.20YesYes-Yes
Zhipu AIZhipu AIglm-4.5131,07298,304$0.60 / $2.20YesYes-Yes
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Models.dev is a comprehensive open-source database of AI model specifications, pricing, and features.

The homepage starts with provider-agnostic model metadata. Model pages list the providers serving that model; provider pages list every model available from that provider; lab pages group canonical models by author.

API

You can access provider data, provider-agnostic model metadata, or the combined catalog through JSON endpoints.

Logos

Provider logos are available at /logos/{provider}.svg where {provider} is the provider ID. Lab logos are available at /logos/labs/{lab}.svg.

SDK

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Contribute

The data is stored in GitHub as TOML files organized by provider and canonical model.