modelparams.dev
Z.ai API key 6 params

Z.ai GLM-5-Turbo parameters

These are the parameters modelparams.dev tracks for Z.ai GLM-5-Turbo. Each row gives the type, default, valid range or values, and the conditions that gate it. It's the same data the JSON API serves.

Parameter Type Default Description Condition
Length · 1 param
Max tokens
max_tokens 		integer (1…+∞) — Maximum number of tokens to generate in the response. —
Sampling · 3 params
Temperature
temperature 		number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when do_sample = false
Top P
top_p 		number (0.01…1 step 0.01) 0.95 Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.
Not when do_sample = false
Do sample
do_sample 		boolean true When false, the model uses greedy decoding and ignores temperature and top_p. —
Reasoning · 1 param
Thinking mode
thinking.type 		enum (enabled | disabled) "enabled" Toggles the model's extended reasoning before it produces the final answer. —
Output · 1 param
Response format
response_format.type 		enum (text | json_object) "text" Forces the response into plain text or a JSON object. —
This model as JSON All Z.ai models Parameter glossary Full catalog

Other Z.ai models

GLM-4.5 GLM-4.5-Air GLM-4.5-Air subscription GLM-4.5-AirX GLM-4.5-Flash GLM-4.5-X GLM-4.6 GLM-4.7 GLM-4.7 subscription GLM-4.7-Flash GLM-4.7-FlashX GLM-5 GLM-5-Turbo subscription GLM-5.1 GLM-5.1 subscription

How to use

Building with an AI agent? Hit Copy to grab this whole guide as Markdown and paste it in — or point your agent straight at /llms.txt.

modelparams.dev is an open, community-maintained catalog of LLM model parameters. Each entry shows the knobs you can turn — type, default, range, and the conditions that gate it.

The same model accessed via an API key and via a subscription usually exposes a different set of parameters. We list both as separate entries so the data stays honest.

Catalog API

The full catalog is static JSON, CORS-enabled, served from the edge.

curl https://modelparams.dev/api/v1/models.json

Each entry is keyed by provider/model for API-key variants; subscription variants append -subscription.

Single model

curl https://modelparams.dev/api/v1/models/anthropic/claude-opus-4-7.json
curl https://modelparams.dev/api/v1/models/anthropic/claude-opus-4-7-subscription.json

JSON Schema

Every entry validates against a JSON Schema you can use in your editor or pipeline. 

curl https://modelparams.dev/api/v1/schema.json

Add this header to any YAML you author for autocomplete in VS Code: 

# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json

Logos

Provider logos are available at /assets/logos/{provider}.svg where {provider} is the provider slug. They use currentColor so they inherit your text color. 

curl https://modelparams.dev/assets/logos/anthropic.svg

Logos are sourced from the models.dev repo (MIT) and used under nominative fair use.

Contribute

The data lives in YAML under models/{provider}/{model}-{auth}.yaml in the GitHub repo. Open a PR; CI validates against the schema and rebuilds.

Edit on GitHub MIT licensed