GLM 5 Turbo API

GLM 5 Turbo is a large language model by Z.ai, available on the Venice API as z-ai-glm-5-turbo. Requests are anonymized, so the provider never sees your identity.GLM-5 Turbo is a fast inference model from Z.ai tuned for strong performance in agent-driven environments and production coding workflows.

GLM 5 Turbo API pricing

Model ID	Variant	Privacy	Price
`z-ai-glm-5-turbo`	Standard	Anonymized	$1.20 input /$ 4.00 output per 1M tokens

GLM 5 Turbo specifications

Spec	Value
Provider	Z.ai
Released	Mar 15, 2026
Privacy	Anonymized
Open weights	Yes
Context window	200K tokens
Max output	32K tokens
Reasoning effort	none, low, medium, high

How to use the GLM 5 Turbo API

Send requests to POST https://api.venice.ai/api/v1/chat/completions with "model": "z-ai-glm-5-turbo" and your API key.

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai-glm-5-turbo",
    "messages": [{ "role": "user", "content": "Explain TEE attestation in two sentences." }],
    "reasoning_effort": "high"
  }'

GLM 5 Turbo API FAQ

How much does the GLM 5 Turbo API cost?

1.20 per 1M input tokens and

4.00 per 1M output tokens, with cached input at $0.24 per 1M. Prices are in USD and can be paid in DIEM at parity.

What is the GLM 5 Turbo model ID?

Use z-ai-glm-5-turbo as the model parameter.

Is the GLM 5 Turbo API private?

GLM 5 Turbo is anonymized: Venice forwards requests to the provider without your identity, but the provider may retain prompt data, so use a private model for sensitive work.

What is the context window of GLM 5 Turbo?

200K tokens of context, with up to 32K output tokens per response.

What does GLM 5 Turbo support?

GLM 5 Turbo supports function calling, structured outputs, reasoning, web search and prompt caching. Reasoning effort is adjustable with reasoning_effort: none, low, medium and high (default high).

Which endpoint does the GLM 5 Turbo API use?

Call POST /chat/completions. /responses (Alpha) is also supported.

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