GLM-5.2
everyais/glm-5-2
GLM-5.2 (everyais/glm-5-2) availability, capabilities, context limits, and public reference pricing on everyais.
Method
The page starts with current public catalog metadata and reference costs; operational metrics are added only when measured samples are available.
Source and update
GET /models/catalogUpdated
- Model type
- Chat
- Released
- 2026-02-11
- Context window
- 1.0M
- Price unit
- Per 1M tokens
- Maximum output
- 1,048,576
- Model reference price (USD)
- Input / 1M tokens
- $1.4
- Output / 1M tokens
- $4.4
Capabilities
- No capability information published
Supported endpoints
- /v1/chat/completions
Benchmarks
Evaluation results published by external sources. Only mappings approved by a human administrator are shown.
| Benchmark | Score | Source |
|---|---|---|
| eci | 151.98 (source-specific scale) | Epoch AI Benchmarking HubCC-BY |
Scores are reproduced as published; everyais does not re-measure them. Scores using different units cannot be compared. See benchmark sources and licenses.
Usage and availability trend
Last 6 days · 2026-09-02 Input 19 · Output 64 tokens.
Daily availability (success rate %)
Insufficient sample — not enough requests to publish a success rate.
Code example
Use the OpenAI SDK by changing only base_url.
from openai import OpenAI
client = OpenAI(
api_key="everyais_...",
base_url="https://api.everyais.com/v1",
)
response = client.chat.completions.create(
model="everyais/glm-5-2",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Other models in this family
Compare models side by side
Compare capabilities, context windows, and reference prices to find a model for your use case. Your actual billed rate can differ by account.