GLM 4.6V
glm-4.6vGLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts... Built by Z.ai.
Prices updated
Input price
$0.30
per 1M tokens · Standard
Output price
$0.90
per 1M tokens · Standard
Input limit
131K
tokens
Output limit
33K
tokens
Input formats
Output formats
GLM 4.6V price history
2 price records since 9/25/2026
GLM 4.6V cost calculator
$11/month
Standard pricing
Overview
What is GLM 4.6V?
GLM 4.6V is a text & reasoning and vision model from Z.ai. GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts... Its 131K context window and $0.30 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
GLM 4.6V benchmarks & speed
How GLM 4.6V scores on standardized evaluations, and where it lands among every model we track.
8.4
Intelligence Index
91tok/s
Output speed
Reasoning
GPQA Diamond
56.6%
Graduate-level scientific reasoning · top 83%
HLE
3.7%
Humanity's Last Exam · top 93%
Latency & design
- Time to first token
- 3.29s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
GLM 4.6V pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.30
Per 1M tokens
Cached input · Standard
$0.06
Per 1M tokens
Capabilities
GLM 4.6V Tools
Tools available when using GLM 4.6V 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
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.30 per million tokens suits high-volume workloads.
- A 131K context window covers most focused application workflows.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 3× more than input tokens, which matters for verbose responses.
- The 131K context window is smaller than several long-context alternatives.
- 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