GLM-5.2 API pricing on Avian Compute
Every Avian Compute GLM-5.2 rate we track, compared against 20 providers serving the same model.
Avian Compute currently has the cheapest GLM-5.2 input price among the 20 providers we track.
The cheapest GLM-5.2 output price is $1.72/1M on IteraCompute.
Avian Compute GLM-5.2 rates
Prices per 1M tokens. Batch and cached-input rates are shown where the provider publishes them.
| Mode | Input | Output |
|---|---|---|
| Standard | $0.495/1M | $1.73/1M |
About GLM-5.2
- Creator
- Z.ai
- Context
- 1.0M
- Modalities
- text
- Open weights
- Yes
GLM-5.2 on other providers
- IteraCompute$0.530/1M
- Deep Infra$0.563/1M
- Runcrate$0.591/1M
- Heabsy$0.840/1M
- Geodd$0.900/1M
- EcoHash$1.00/1M
- Baseten$1.40/1M
- DigitalOcean$1.40/1M
- Empirio Labs$1.40/1M
- GMI Cloud$1.40/1M
- Novita AI$1.40/1M
- RouterPlus$1.40/1M
- Together AI$1.40/1M
- IO.NET$1.40/1M
- Prime Intellect$1.54/1M
- OpenRelay$1.82/1M
- Scaleway$2.01/1M
- VoltageGPU$2.50/1M
About Avian Compute
Avian Compute provides AI inference and dedicated GPU compute services through NVIDIA B200 and B300 HGX nodes. It offers a range of AI models accessible via a single API key, billed on a pay-per-token basis or through long-term reservations.
Frequently Asked Questions
How much does GLM-5.2 cost on Avian Compute?
Avian Compute serves GLM-5.2 from $0.495 per 1M input tokens, across 1 tracked pricing mode. Prices are collected daily — see the table above for current input, output, and cached-input rates.
Is Avian Compute the cheapest way to run GLM-5.2?
Of the 20 providers we track serving GLM-5.2, Avian Compute currently has the lowest input price. The lowest output price is $1.72/1M on IteraCompute. Rates change often, and throughput, latency and context limits differ between providers — check the comparison above before committing.
Does Avian Compute offer batch or cached pricing for GLM-5.2?
We track 1 GLM-5.2 offering from Avian Compute. Batch and cached-input rates appear in the table above when the provider publishes them; blank cells mean we have no current figure for that mode.