GLM 5 Turbo
glm-5-turboGLM-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... Built by Z.ai.
Prices updated
Input price
$1.20
per 1M tokens · Standard
Output price
$4.00
per 1M tokens · Standard
Input limit
203K
tokens
Output limit
131K
tokens
Input formats
Output formats
GLM 5 Turbo price history
2 price records since 9/25/2026
GLM 5 Turbo cost calculator
$44/month
Standard pricing
Overview
What is GLM 5 Turbo?
GLM 5 Turbo is a text & reasoning model from Z.ai. 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... Its 203K context window and $1.20 input price make it a candidate for quality-focused production applications.
Benchmarks
GLM 5 Turbo benchmarks & speed
How GLM 5 Turbo scores on standardized evaluations, and where it lands among every model we track.
26.6
Intelligence Index
1267
DesignArena Elo
Reasoning
GPQA Diamond
84.7%
Graduate-level scientific reasoning · top 42%
HLE
27.8%
Humanity's Last Exam · top 42%
Latency & design
- DesignArena win rate
- 53.9%
- Design battles judged
- 40,430
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
GLM 5 Turbo pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$1.20
Per 1M tokens
Cached input · Standard
$0.24
Per 1M tokens
Capabilities
GLM 5 Turbo Tools
Tools available when using GLM 5 Turbo through supported provider APIs.
Function calling
Supported
Structured outputs
Not supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Not supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 26.6 · DesignArena Elo 1267) position it for demanding production work.
- 203K context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 3× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider
