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GLM-5.2

zhipuai/glm-5.2

Open flagship GLM for long-horizon coding agents and million-token context work

Input modalitiesT
Output modalitiesT
Source-linkedglmOpen weightsReleased 2026-06-13
Report data
Context window1M
Maximum output131.072K
Provider offers46
Knowledge cutoffUndisclosed
Capabilities

What this model supports

ReasoningYes
Tool callingYes
Structured outputYes
AttachmentsNo
Temperature controlYes
Open weightsYes
Creator
Zhipu AI
Family
glm
Modalities
Text
License
Not documented
Release date
2026-06-13
Model ID
zhipuai/glm-5.2
Market availability

Provider pricing

Report price →
Providers offering GLM-5.2
ProviderProvider model IDContextInput / 1MOutput / 1MCached / 1MFeaturesAll pricing
Model Oracle AI logoModel Oracle AIglm-5.21MR T S
View
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Zhipu AI Coding Plan logoZhipu AI Coding Planglm-5.21M$0$0$0R T S
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UnoRouter logoUnoRouterglm-5.2:free1M$0$0R T S
View
{
  "input": 0,
  "output": 0
}
Alibaba Token Plan logoAlibaba Token Planglm-5.21M$0$0$0R T S
View
{
  "cache_read": 0,
  "cache_write": 0,
  "input": 0,
  "output": 0
}
Z.AI Coding Plan logoZ.AI Coding Planglm-5.21M$0$0$0R T S
View
{
  "cache_read": 0,
  "cache_write": 0,
  "input": 0,
  "output": 0
}
Nvidia logoNvidiaz-ai/glm-5.21M$0$0R T S
View
{
  "input": 0,
  "output": 0
}
Kenari logoKenariglm-5-21M$0$0R T S
View
{
  "input": 0,
  "output": 0
}
Ollama Cloud logoOllama Cloudglm-5.2976KR T S
View
{}
Alibaba Token Plan (China) logoAlibaba Token Plan (China)glm-5.21M$0$0$0R T S
View
{
  "cache_read": 0,
  "cache_write": 0,
  "input": 0,
  "output": 0
}
OpenRouter logoOpenRouterz-ai/glm-5.21.04858M$0.42$1.32$0.078R T S
View
{
  "cache_read": 0.078,
  "input": 0.42,
  "output": 1.32
}
CrofAI logoCrofAIglm-5.21M$0.5$2.2$0.08R T S
View
{
  "cache_read": 0.08,
  "input": 0.5,
  "output": 2.2
}
routing.run logorouting.runglm-5.2200K$0.8$2.4R T S
View
{
  "input": 0.8,
  "output": 2.4
}
Vultr logoVultrzai-org/GLM-5.2-FP8393.216K$0.85$3.1R T S
View
{
  "input": 0.85,
  "output": 3.1
}
Deep Infra logoDeep Infrazai-org/GLM-5.21.04858M$0.93$3$0.18R T S
View
{
  "cache_read": 0.18,
  "input": 0.93,
  "output": 3
}
GMI Cloud logoGMI Cloudzai-org/GLM-5.2-FP81M$0.979$3.08$0.182R T S
View
{
  "cache_read": 0.182,
  "input": 0.979,
  "output": 3.08
}
DigitalOcean logoDigitalOceanglm-5.21M$1.05$4.4$0.21R T S
View
{
  "cache_read": 0.21,
  "input": 1.05,
  "output": 4.4
}
Alibaba (China) logoAlibaba (China)glm-5.21M$1.1$3.851$0.275R T S
View
{
  "cache_read": 0.275,
  "cache_write": 0,
  "input": 1.1,
  "output": 3.851
}
AIHubMix logoAIHubMixglm-5.21M$1.127$3.944$0.282R T S
View
{
  "cache_read": 0.2817,
  "input": 1.1268,
  "output": 3.9438
}
CrossModel logoCrossModelz-ai/glm-5.21M$1.2$4.4$0.3R T S
View
{
  "cache_read": 0.3,
  "cache_write": 1.2,
  "input": 1.2,
  "output": 4.4
}
Vivgrid logoVivgridglm-5.21M$1.2$4.2$0.3R T S
View
{
  "cache_read": 0.3,
  "input": 1.2,
  "output": 4.2
}
Wafer logoWaferGLM-5.21.04858M$1.2$4.1$0.2R T S
View
{
  "cache_read": 0.2,
  "cache_write": 0,
  "input": 1.2,
  "output": 4.1
}
Ambient logoAmbientzai-org/GLM-5.2-FP8202.752K$1.2$4.2$0.26R T S
View
{
  "cache_read": 0.26,
  "cache_write": 0,
  "input": 1.2,
  "output": 4.2
}
LLM Gateway logoLLM Gatewayglm-5.21.024M$1.26$3.96$0.234R T S
View
{
  "cache_read": 0.234,
  "cache_write": 0,
  "input": 1.26,
  "output": 3.96
}
SiliconFlow (China) logoSiliconFlow (China)zai-org/GLM-5.21.049M$1.4$4.4R T S
View
{
  "cache_write": 0,
  "input": 1.4,
  "output": 4.4
}
Nebius Token Factory logoNebius Token Factoryzai-org/GLM-5.2432K$1.4$4.4R T S
View
{
  "input": 1.4,
  "output": 4.4
}
OpenCode Go logoOpenCode Goglm-5.21M$1.4$4.4$0.26R T S
View
{
  "cache_read": 0.26,
  "input": 1.4,
  "output": 4.4
}
OpenCode Zen logoOpenCode Zenglm-5.21M$1.4$4.4$0.26R T S
View
{
  "cache_read": 0.26,
  "input": 1.4,
  "output": 4.4
}
SiliconFlow logoSiliconFlowzai-org/GLM-5.21.049M$1.4$4.4R T S
View
{
  "cache_write": 0,
  "input": 1.4,
  "output": 4.4
}
Friendli logoFriendlizai-org/GLM-5.21M$1.4$4.4$0.26R T S
View
{
  "cache_read": 0.26,
  "input": 1.4,
  "output": 4.4
}
Together AI logoTogether AIzai-org/GLM-5.2262.144K$1.4$4.4$0.26R T S
View
{
  "cache_read": 0.26,
  "input": 1.4,
  "output": 4.4
}
Subconscious logoSubconscioussubconscious/glm-5.21M$1.4$4.4$0.26R T S
View
{
  "cache_read": 0.26,
  "input": 1.4,
  "output": 4.4
}
Databricks logoDatabricksdatabricks-glm-5-21M$1.4$4.4$0.26R T S
View
{
  "cache_read": 0.26,
  "input": 1.4,
  "output": 4.4
}
Merge Gateway logoMerge Gatewayzai/glm-5.21M$1.4$4.4R T S
View
{
  "input": 1.4,
  "output": 4.4
}
Synthetic logoSynthetichf:zai-org/GLM-5.2524.288K$1.4$4.4$1.4R T S
View
{
  "cache_read": 1.4,
  "input": 1.4,
  "output": 4.4
}
Z.AI logoZ.AIglm-5.21M$1.4$4.4$0.26R T S
View
{
  "cache_read": 0.26,
  "cache_write": 0,
  "input": 1.4,
  "output": 4.4
}
NovitaAI logoNovitaAIzai-org/glm-5.21.04858M$1.4$4.4$0.26R T S
View
{
  "cache_read": 0.26,
  "input": 1.4,
  "output": 4.4
}
Pioneer logoPioneerzai-org/GLM-5.21.04858M$1.4$4.4$0.26R T S
View
{
  "cache_read": 0.26,
  "cache_write": 1.4,
  "input": 1.4,
  "output": 4.4
}
Abacus logoAbacuszai-org/GLM-5.21.04858M$1.4$4.4$0.26R T S
View
{
  "cache_read": 0.26,
  "input": 1.4,
  "output": 4.4
}
Zhipu AI logoZhipu AIglm-5.21M$1.4$4.4$0.26R T S
View
{
  "cache_read": 0.26,
  "cache_write": 0,
  "input": 1.4,
  "output": 4.4
}
HPC-AI logoHPC-AIzai-org/glm-5.21.04858M$1.4$4.4$0.26R T S
View
{
  "cache_read": 0.26,
  "input": 1.4,
  "output": 4.4
}
Hugging Face logoHugging Facezai-org/GLM-5.2262.144K$1.4$4.4R T S
View
{
  "input": 1.4,
  "output": 4.4
}
Cortecs logoCortecsglm-5.21M$1.44$4.53$0.39R T S
View
{
  "cache_read": 0.39,
  "input": 1.44,
  "output": 4.53
}
Tinfoil logoTinfoilglm-5-2384K$1.5$5.25R T S
View
{
  "input": 1.5,
  "output": 5.25
}
Berget.AI logoBerget.AIzai-org/GLM-5.2524.288K$1.54$4.84R T S
View
{
  "input": 1.54,
  "output": 4.84
}
UnoRouter logoUnoRouterglm-5.21M$1.6$5.029R T S
View
{
  "input": 1.6001,
  "output": 5.0288
}
Scaleway logoScalewayglm-5.2256K$1.8$5.5R T S
View
{
  "input": 1.8,
  "output": 5.5
}
Evidence

Published benchmark results

FrontierSWE vs top 1 models
GLM-5.2
74.4
SWE-Bench Pro vs top 8 models
Claude Fable 5
80.3
Claude Opus 4.8
69.2
Grok 4.5
64.7
GPT-5.6 Sol
64.6
Claude Opus 4.7
64.3
GPT-5.6 Terra
63.4
Claude Sonnet 5
63.2
GLM-5.2
62.1
Terminal-Bench vs top 8 models
GPT-5.6 Sol
88.8
Claude Fable 5
88.0
GPT-5.6 Terra
87.4
GPT-5.6 Luna
84.7
Grok 4.5
83.3
GPT-5.5
82.7
GLM-5.2
82.7
Muse Spark 1.1
80.0