Today's price · per 1M tokens
Input
$0.300
per 1M tokens
Output
$0.900
per 1M tokens
Blended
$0.450
blended $/1M — 3:1 weighted input:output
Cached input
$0.050
17% of input — prompt caching
Price receipt
We read Z.AI's own pricing page on and found GLM-4.6V listed with a price on the same row — that read is where the number above comes from. We keep the page text we read; its content hash is 6fcdb1fc83.
Overview
Vision model (GLM-4.6V). $0.30/$0.90 per 1M; cached $0.05.
Deploy this open model on rented GPUs
Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.
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Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is betterWe hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.
- AA-Omniscience Index: -26.9 (−100–100)
- LMSYS Chatbot Arena: 1378.5 ELO (Human preference)
- Ranks #130 of 181 comparably-measured models by percentile score, across 2 independent measurements
- Ranks #46 of 181 comparably-tested models by normalized performance per dollar
Source: Artificial Analysis, LMSYS Chatbot Arena (UC Berkeley) · updated · See full rankings →
Specifications
- Provider
- Z.AI
- Context window
- 128K tokens
- Modality
- text, image
- Parameters
- Proprietary
- Open source
- Yes — open weights available
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on Z.AI's own page