GLM-5.2

by zai · family glm

Facts

Release date	2026-06-16
Retired date	—
Knowledge cutoff	—
Context (max)	1,048,576
Max output	131,072
Modalities	text → text
Aliases	`glm-5.2`
Open weights	yes
Description	756B open-weight model, 976K context.

Unknown values are shown as —.

Intelligence Index v4.1.1: 53 · max · Source: Artificial Analysis (accessed 2026-08-20)

Offerings

Provider	Wire ID	Endpoint	Protocol	Status	Price (USD / Mtok)	Reasoning
Alibaba Token Plan	`glm-5.2`	compatible-mode	openai-chat	ga	—	toggle · default on · returns reasoning_content · round-trips reasoning_content
Baseten	`zai-org/GLM-5.2`	chat-completions	openai-chat	ga	1.40 / 4.40	effort · default on · returns reasoning_content
IO Intelligence (io.net)	`zai-org/GLM-5.2`	chat	openai-chat	ga	1.55 / 4.88	effort · default on · returns reasoning_content
NEAR AI Cloud	`z-ai/glm-5.2`	chat	openai-chat	ga	1.40 / 4.40	toggle · default on · returns reasoning_content
Ollama Cloud	`glm-5.2`	v1-chat-completions	openai-chat	ga	—	effort · default on · returns hidden
OpenCode Go	`glm-5.2`	go-chat-completions	openai-chat	ga	—	toggle · default on · returns reasoning_content · round-trips reasoning_content
OpenCode Zen	`glm-5.2`	chat-completions	openai-chat	ga	1.40 / 4.40	toggle · default on · returns reasoning_content · round-trips reasoning_content
OpenRouter	`z-ai/glm-5.2`	chat-completions	openai-chat	ga	0.97 / 3.04	effort · default on · returns reasoning_content · round-trips reasoning_content
Synthetic	`hf:zai-org/GLM-5.2`	openai-chat	openai-chat	ga	—	adaptive · default on · returns hidden
Synthetic	`syn:large:text`	openai-chat	openai-chat	ga	—	effort · default on · returns reasoning_content

Reasoning controls

Alibaba Token Plan· glm-5.2· compatible-mode toggle

enable_thinking on true · off false

toggle · default on · returns reasoning_content · round-trips reasoning_content

Baseten· zai-org/GLM-5.2· chat-completions effort

reasoning_effort nonehigh●max Default not documented — verify.

effort · default on · returns reasoning_content

IO Intelligence (io.net)· zai-org/GLM-5.2· chat effort

reasoning.effort nonelowmediumhigh● Default not documented — verify.

effort · default on · returns reasoning_content

NEAR AI Cloud· z-ai/glm-5.2· chat toggle

chat_template_kwargs.enable_thinking on true · off false

toggle · default on · returns reasoning_content

Ollama Cloud· glm-5.2· v1-chat-completions effort

reasoning_effort nonelowmediumhigh●max Default level not documented; verify.

effort · default on · returns hidden

OpenCode Go· glm-5.2· go-chat-completions toggle

thinking.type on enabled · off disabled

toggle · default on · returns reasoning_content · round-trips reasoning_content

OpenCode Zen· glm-5.2· chat-completions toggle

thinking.type on enabled · off disabled

toggle · default on · returns reasoning_content · round-trips reasoning_content

OpenRouter· z-ai/glm-5.2· chat-completions effort

reasoning.effort nonelowmedium●highxhighmax

effort · default on · returns reasoning_content · round-trips reasoning_content

Synthetic· hf:zai-org/GLM-5.2· openai-chat adaptive

adaptive · default on · returns hidden

Synthetic· syn:large:text· openai-chat effort

reasoning_effort lowmediumhigh●

effort · default on · returns reasoning_content

Example requests

Alibaba Token Plan · openai-chat · glm-5.2

curl 'https://token-plan.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "glm-5.2",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ],
  "enable_thinking": true
}'

Python (requests)

import requests

resp = requests.post(
    "https://token-plan.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "glm-5.2",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ],
      "enable_thinking": true
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://token-plan.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "glm-5.2",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ],
    "enable_thinking": true
  }),
})
console.log(await resp.json())

⚠ Responses include reasoning_content artifacts — pass them back unmodified on subsequent turns (dropping them triggers 400s or quality loss).

Baseten · openai-chat · zai-org/GLM-5.2

curl 'https://inference.baseten.co/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "zai-org/GLM-5.2",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ],
  "reasoning_effort": "high"
}'

Python (requests)

import requests

resp = requests.post(
    "https://inference.baseten.co/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "zai-org/GLM-5.2",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ],
      "reasoning_effort": "high"
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://inference.baseten.co/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "zai-org/GLM-5.2",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ],
    "reasoning_effort": "high"
  }),
})
console.log(await resp.json())

IO Intelligence (io.net) · openai-chat · zai-org/GLM-5.2

curl 'https://api.intelligence.io.solutions/api/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "zai-org/GLM-5.2",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ],
  "reasoning": {
    "effort": "high"
  }
}'

Python (requests)

import requests

resp = requests.post(
    "https://api.intelligence.io.solutions/api/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "zai-org/GLM-5.2",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ],
      "reasoning": {
        "effort": "high"
      }
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://api.intelligence.io.solutions/api/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "zai-org/GLM-5.2",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ],
    "reasoning": {
      "effort": "high"
    }
  }),
})
console.log(await resp.json())

NEAR AI Cloud · openai-chat · z-ai/glm-5.2

curl 'https://cloud-api.near.ai/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "z-ai/glm-5.2",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ],
  "chat_template_kwargs": {
    "enable_thinking": true
  }
}'

Python (requests)

import requests

resp = requests.post(
    "https://cloud-api.near.ai/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "z-ai/glm-5.2",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ],
      "chat_template_kwargs": {
        "enable_thinking": true
      }
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://cloud-api.near.ai/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "z-ai/glm-5.2",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ],
    "chat_template_kwargs": {
      "enable_thinking": true
    }
  }),
})
console.log(await resp.json())

Ollama Cloud · openai-chat · glm-5.2

curl 'https://ollama.com/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "glm-5.2",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ],
  "reasoning_effort": "high"
}'

Python (requests)

import requests

resp = requests.post(
    "https://ollama.com/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "glm-5.2",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ],
      "reasoning_effort": "high"
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://ollama.com/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "glm-5.2",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ],
    "reasoning_effort": "high"
  }),
})
console.log(await resp.json())

OpenCode Go · openai-chat · glm-5.2

curl 'https://opencode.ai/zen/go/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "glm-5.2",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ],
  "thinking": {
    "type": "enabled"
  }
}'

Python (requests)

import requests

resp = requests.post(
    "https://opencode.ai/zen/go/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "glm-5.2",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ],
      "thinking": {
        "type": "enabled"
      }
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://opencode.ai/zen/go/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "glm-5.2",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ],
    "thinking": {
      "type": "enabled"
    }
  }),
})
console.log(await resp.json())

⚠ Responses include reasoning_content artifacts — pass them back unmodified on subsequent turns (dropping them triggers 400s or quality loss).

OpenCode Zen · openai-chat · glm-5.2

curl 'https://opencode.ai/zen/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "glm-5.2",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ],
  "thinking": {
    "type": "enabled"
  }
}'

Python (requests)

import requests

resp = requests.post(
    "https://opencode.ai/zen/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "glm-5.2",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ],
      "thinking": {
        "type": "enabled"
      }
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://opencode.ai/zen/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "glm-5.2",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ],
    "thinking": {
      "type": "enabled"
    }
  }),
})
console.log(await resp.json())

⚠ Responses include reasoning_content artifacts — pass them back unmodified on subsequent turns (dropping them triggers 400s or quality loss).

OpenRouter · openai-chat · z-ai/glm-5.2

curl 'https://openrouter.ai/api/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "z-ai/glm-5.2",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ],
  "reasoning": {
    "effort": "medium"
  }
}'

Python (requests)

import requests

resp = requests.post(
    "https://openrouter.ai/api/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "z-ai/glm-5.2",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ],
      "reasoning": {
        "effort": "medium"
      }
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "z-ai/glm-5.2",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ],
    "reasoning": {
      "effort": "medium"
    }
  }),
})
console.log(await resp.json())

⚠ Responses include reasoning_content artifacts — pass them back unmodified on subsequent turns (dropping them triggers 400s or quality loss).

Synthetic · openai-chat · hf:zai-org/GLM-5.2

curl 'https://api.synthetic.new/openai/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "hf:zai-org/GLM-5.2",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ]
}'

Python (requests)

import requests

resp = requests.post(
    "https://api.synthetic.new/openai/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "hf:zai-org/GLM-5.2",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ]
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://api.synthetic.new/openai/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "hf:zai-org/GLM-5.2",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ]
  }),
})
console.log(await resp.json())

Synthetic · openai-chat · syn:large:text

curl 'https://api.synthetic.new/openai/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "syn:large:text",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ],
  "reasoning_effort": "high"
}'

Python (requests)

import requests

resp = requests.post(
    "https://api.synthetic.new/openai/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "syn:large:text",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ],
      "reasoning_effort": "high"
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://api.synthetic.new/openai/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "syn:large:text",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ],
    "reasoning_effort": "high"
  }),
})
console.log(await resp.json())