GLM 5.2
Z.aiReleased Jun 16, 2026
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...
- Context window
- 1.0M tokens
- Max output
- 33K tokens
- Input
- text
- Output
- text
- Tokenizer
- Other
- Released
- Jun 16, 2026
- Reasoning
- optional
Pricing
Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.
| Per 1M tokens | Provider | + 3% fee | You pay |
|---|---|---|---|
| Input | $0.930 | $0.028 | $0.958 |
| Output | $3.00 | $0.090 | $3.09 |
| Cache read | $0.180 | $0.0054 | $0.185 |
Benchmarks
Artificial Analysis
- Intelligence index
- 51.1
- Coding index
- 68.8
- Agentic index
- 43.1
Design Arena
| Category | Elo | Win rate | Rank |
|---|---|---|---|
| androidnativeagents | 1240 | 55.3% | #8 |
| Full-stackagents | 1298 | 64% | #3 |
| htmlslidesagents | 1206 | 52.7% | #8 |
| Mobile appsagents | 1243 | 54% | #5 |
| python-pptxslidesagents | 1221 | 50.1% | #5 |
| Web appsagents | 1283 | 57.5% | #3 |
| 3Dmodels | 1376 | 64.3% | #1 |
| Codemodels | 1360 | 62% | #1 |
| Data vizmodels | 1327 | 59.9% | #4 |
| Game devmodels | 1357 | 61.2% | #2 |
| UI componentsmodels | 1334 | 58.8% | #5 |
| Websitesmodels | 1357 | 61.7% | #1 |
Head-to-head preference voting. How we filter and rank
Supported parameters
- frequency_penalty
- include_reasoning
- logit_bias
- logprobs
- max_tokens
- min_p
- parallel_tool_calls
- presence_penalty
- reasoning
- reasoning_effort
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Call it
OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model z-ai/glm-5.2.
curl https://api.openkey.ai/v1/chat/completions \
-H "Authorization: Bearer $OPENKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "z-ai/glm-5.2",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.openkey.ai/v1",
api_key=os.environ["OPENKEY_API_KEY"],
)
completion = client.chat.completions.create(
model="z-ai/glm-5.2",
messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.openkey.ai/v1",
apiKey: process.env.OPENKEY_API_KEY,
});
const completion = await client.chat.completions.create({
model: "z-ai/glm-5.2",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);Questions
- How much does GLM 5.2 cost via API?
- Through OpenKey, GLM 5.2 costs $0.958 per 1M input tokens and $3.09 per 1M output tokens. That is the provider price ($0.930 / $3.00) plus a flat 3% fee — nothing else.
- What is GLM 5.2's context window?
- GLM 5.2 accepts up to 1.0M tokens of context and returns up to 33K tokens per request.
- Is GLM 5.2 OpenAI-compatible?
- Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "z-ai/glm-5.2" using any OpenAI SDK — only the base URL and API key change.
- What inputs does GLM 5.2 support?
- GLM 5.2 accepts text input and produces text output.
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