Measured on Composite
This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.
AI model
Z.ai: GLM 5 Turbo
z-ai/glm-5-turbo
Z.ai: GLM 5 Turbo is a 202,752-token model served on Composite at $1.50 per million tokens in and $5.00 per million tokens out.
Try in PlaygroundSpecifications
| Model ID | z-ai/glm-5-turbo |
|---|---|
| Provider | cv11 |
| Context window | 202,752 tokens |
| Accepts | text |
| Returns | text |
| Input price | $1.50 per million tokens |
| Output price | $5.00 per million tokens |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Moderated | No |
| Cost on a monthly plan | About 14 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 2 (base plus 1 routing variant) |
Routing variants
The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.
| Route | Model ID | Provider | Price |
|---|---|---|---|
| cheapThink | z-ai/glm-5-turbo:cheapThink |
cv11 | $1.50 per million tokens input · $5.00 per million tokens output |
Pricing
$1.50 per million tokens input · $5.00 per million tokens output
Credits pay the provider’s price plus 25%; cache hits cost less.
On a monthly plan, a typical call (8k tokens in, 1k out) uses about 14 plan credits, at the provider's own price.
Provider
cv11
Roleplay fit
GLM models balance strong instruction-following with competitive pricing, a reasonable middle ground for most roleplay setups.
Context behavior
With a 202,752-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
Cost for regular use
It sits in the mid-range on price, a reasonable pick for regular roleplay use without going for the cheapest option available.
From the provider
GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows...
Supplied by cv11, not written by Composite.
Related models
Z.ai: GLM 5.3 Prime (Drafted) · Z.ai: GLM 5.3 FlashX (Drafted) · Z.ai: GLM 5.3 (Drafted)