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GLM-5

zhipuai/glm-5

General GLM flagship for coding, analysis, and tool-heavy engineering workflows

Source-linkedglmOpen weightsReleased 2026-02-12
Report data
Context window204.8K
Maximum output131.072K
Provider offers28
Knowledge cutoffUndisclosed
Capabilities

What this model supports

ReasoningYes
Tool callingYes
Structured outputNo
AttachmentsNo
Temperature controlYes
Open weightsYes
Creator
Zhipu AI
Family
glm
Modalities
Text
License
Not documented
Release date
2026-02-12
Model ID
zhipuai/glm-5
Market availability

Provider pricing

Report price →
Providers offering GLM-5
ProviderProvider model IDContextInput / 1MOutput / 1MCached / 1MFeaturesAll pricing
Tencent Coding Plan (China)glm-5202.752K$0.000$0.000$0.000R T ·
View
{
  "cache_read": 0,
  "cache_write": 0,
  "input": 0,
  "output": 0
}
Alibaba Coding Planglm-5202.752K$0.000$0.000$0.000R T ·
View
{
  "cache_read": 0,
  "cache_write": 0,
  "input": 0,
  "output": 0
}
Alibaba Token Plan (China)glm-5202.752K$0.000$0.000$0.000R T ·
View
{
  "cache_read": 0,
  "cache_write": 0,
  "input": 0,
  "output": 0
}
Alibaba Coding Plan (China)glm-5202.752K$0.000$0.000$0.000R T ·
View
{
  "cache_read": 0,
  "cache_write": 0,
  "input": 0,
  "output": 0
}
Alibaba Token Planglm-5202.752K$0.000$0.000$0.000R T ·
View
{
  "cache_read": 0,
  "cache_write": 0,
  "input": 0,
  "output": 0
}
CrofAIglm-5202.752K$0.480$1.900$0.100R T ·
View
{
  "cache_read": 0.1,
  "cache_write": 0,
  "input": 0.48,
  "output": 1.9
}
Deep Infrazai-org/GLM-5202.752K$0.600$2.080$0.120R T S
View
{
  "cache_read": 0.12,
  "input": 0.6,
  "output": 2.08
}
CrossModelz-ai/glm-5200K$0.600$3.000$0.160R T ·
View
{
  "cache_read": 0.16,
  "cache_write": 0.6,
  "input": 0.6,
  "output": 3,
  "tiers": [
    {
      "cache_read": 0.2,
      "cache_write": 0.8,
      "input": 0.8,
      "output": 3.4,
      "tier": {
        "size": 32000,
        "type": "context"
      }
    }
  ]
}
OpenRouterz-ai/glm-5202.752K$0.600$1.920$0.120R T S
View
{
  "cache_read": 0.12,
  "input": 0.6,
  "output": 1.92
}
GMI Cloudzai-org/GLM-5-FP8202.752K$0.600$1.920$0.120R T ·
View
{
  "cache_read": 0.12,
  "input": 0.6,
  "output": 1.92
}
LLM Gatewayglm-5203K$0.720$2.300$0.144R T ·
View
{
  "cache_read": 0.144,
  "cache_write": 0,
  "input": 0.72,
  "output": 2.3
}
DInferenceglm-5200K$0.750$2.400R T ·
View
{
  "input": 0.75,
  "output": 2.4
}
Meganovazai-org/GLM-5202.752K$0.800$2.560R T ·
View
{
  "input": 0.8,
  "output": 2.56
}
Alibaba (China)glm-5202.752K$0.860$3.150R T ·
View
{
  "input": 0.86,
  "output": 3.15
}
Vercel AI Gatewayzai/glm-5202.8K$0.950$3.150$0.200R T ·
View
{
  "cache_read": 0.2,
  "input": 0.95,
  "output": 3.15
}
FastRouterz-ai/glm-5204.8K$0.950$3.150R T ·
View
{
  "input": 0.95,
  "output": 3.15
}
OpenCode Goglm-5202.752K$1.000$3.200$0.200R T ·
View
{
  "cache_read": 0.2,
  "input": 1,
  "output": 3.2
}
Zhipu AIglm-5204.8K$1.000$3.200$0.200R T ·
View
{
  "cache_read": 0.2,
  "cache_write": 0,
  "input": 1,
  "output": 3.2
}
Merge Gatewayzai/glm-5204.8K$1.000$3.200$0.200R T ·
View
{
  "cache_read": 0.2,
  "cache_write": 0,
  "input": 1,
  "output": 3.2
}
OrcaRouterz-ai/glm-5204.8K$1.000$3.200$0.200R T ·
View
{
  "cache_read": 0.2,
  "cache_write": 0,
  "input": 1,
  "output": 3.2
}
Z.AIglm-5204.8K$1.000$3.200$0.200R T ·
View
{
  "cache_read": 0.2,
  "cache_write": 0,
  "input": 1,
  "output": 3.2
}
Abacuszai-org/GLM-5204.8K$1.000$3.200R T ·
View
{
  "input": 1,
  "output": 3.2
}
OpenCode Zenglm-5204.8K$1.000$3.200$0.200R T ·
View
{
  "cache_read": 0.2,
  "input": 1,
  "output": 3.2
}
Amazon Bedrockzai.glm-5202.752K$1.000$3.200R T S
View
{
  "input": 1,
  "output": 3.2
}
Together AIzai-org/GLM-5202.752K$1.000$3.200R T S
View
{
  "input": 1,
  "output": 3.2
}
Hugging Facezai-org/GLM-5202.752K$1.000$3.200$0.200R T ·
View
{
  "cache_read": 0.2,
  "input": 1,
  "output": 3.2
}
NovitaAIzai-org/glm-5202.8K$1.000$3.200$0.200R T S
View
{
  "cache_read": 0.2,
  "input": 1,
  "output": 3.2
}
Vertexzai-org/glm-5-maas202.752K$1.000$3.200$0.100R T ·
View
{
  "cache_read": 0.1,
  "input": 1,
  "output": 3.2
}
Evidence

Published benchmark results

SWE-Atlas Codebase QnA vs top 1 models
GLM-5
20.5
SWE-Atlas Refactoring vs top 1 models
GLM-5
24.2
SWE-Atlas Test Writing vs top 1 models
GLM-5
28.7
SWE-Bench Verified vs top 8 models
Claude Fable 5
95.0
Claude Opus 4.8
88.6
Claude Sonnet 5
85.2
Ornith 1.0 397B
82.4
DeepSeek V4 Pro
80.6
Qwen3.7 Max
80.4
Kimi K2.6
80.2
GLM-5
72.8