GLM 4.6
glm-4.6Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex... Built by Z.ai.
Prices updated
Input price
$0.43
per 1M tokens · Standard
Output price
$1.75
per 1M tokens · Standard
Input limit
205K
tokens
Output limit
16K
tokens
Input formats
Output formats
GLM 4.6 price history
2 price records since 9/25/2026
GLM 4.6 cost calculator
$17/month
Standard pricing
Overview
What is GLM 4.6?
GLM 4.6 is a text & reasoning model from Z.ai. Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex... Its 205K context window and $0.43 input price make it a candidate for quality-focused production applications.
Benchmarks
GLM 4.6 benchmarks & speed
How GLM 4.6 scores on standardized evaluations, and where it lands among every model we track.
14.9
Intelligence Index
37tok/s
Output speed
1169
DesignArena Elo
Reasoning
GPQA Diamond
63.2%
Graduate-level scientific reasoning · top 77%
HLE
5.5%
Humanity's Last Exam · top 76%
Latency & design
- Time to first token
- 4.4s
- DesignArena win rate
- 54.3%
- Design battles judged
- 17,086
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 4.6 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.43
Per 1M tokens
Cached input · Standard
$0.08
Per 1M tokens
Capabilities
GLM 4.6 Tools
Tools available when using GLM 4.6 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 14.9 · DesignArena Elo 1169) 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