Today's price · per 1M tokens
Input
$0.070
per 1M tokens
Output
$0.400
per 1M tokens
Blended
$0.153
blended $/1M — 3:1 weighted input:output
Cached input
$0.010
14% of input — prompt caching
Price receipt
We read Z.AI's own pricing page on and found GLM-4.7-FlashX 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
Fast, cheap GLM variant. $0.07/$0.40 per 1M; cached input $0.01.
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: -62.6 (−100–100)
- Ranks #173 of 181 comparably-measured models by percentile score, across 1 independent measurement
- Ranks #126 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
- Parameters
- Proprietary
- Open source
- Yes — open weights available
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on Z.AI's own page