GLM 4.7
glm-4.7GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while... Built by Z.ai.
Prices updated
Input price
$0.60
per 1M tokens · Standard
Output price
$2.20
per 1M tokens · Standard
Input limit
205K
tokens
Output limit
131K
tokens
Input formats
Output formats
GLM 4.7 price history
2 price records since 9/25/2026
GLM 4.7 cost calculator
$23/month
Standard pricing
Overview
What is GLM 4.7?
GLM 4.7 is a text & reasoning model from Z.ai. GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while... Its 205K context window and $0.60 input price make it a candidate for quality-focused production applications.
Benchmarks
GLM 4.7 benchmarks & speed
How GLM 4.7 scores on standardized evaluations, and where it lands among every model we track.
22.2
Intelligence Index
61tok/s
Output speed
1220
DesignArena Elo
Reasoning
GPQA Diamond
85.9%
Graduate-level scientific reasoning · top 39%
HLE
27.4%
Humanity's Last Exam · top 43%
Latency & design
- Time to first token
- 1.27s
- DesignArena win rate
- 54.8%
- Design battles judged
- 46,844
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 4.7 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.60
Per 1M tokens
Cached input · Standard
$0.11
Per 1M tokens
Capabilities
GLM 4.7 Tools
Tools available when using GLM 4.7 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 22.2 · DesignArena Elo 1220) position it for demanding production work.
- 205K context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 4× 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