zai/glm-4.5
GLM 4.5
GLM-4.5 and GLM-4.5-Air are our latest flagship models, purpose-built as foundational models for agent-oriented applications. Both leverage a Mixture-of-Experts (MoE) architecture. GLM-4.5 has a total parameter count of 355B with 32B active parameters per forward pass, while GLM-4.5-Air adopts a more streamlined design with 106B total parameters and 12B active parameters.
Price comparison
USD per one million tokens, using current provider data.
Provider latency
Last-hour p50 in milliseconds; lower is better.
Provider uptime
Reported availability over the last 24 hours; not a contractual SLA.
Inference providers
Compare current pricing, performance, and privacy across every available provider.
| Provider | Maximum context | Max output | p50 latency | p50 throughput | 24h uptime | Input / 1M tokens | Output / 1M tokens | Privacy |
|---|---|---|---|---|---|---|---|---|
Zai | 128K | 96K | 3,958 ms | 108.5 t/s | 100.000% | $0.6 | $2.2 |
What can this model do?
Available modalities and capabilities across inference providers.
Technical profile
- Model type
- Language model
- Release date
- Jul 28, 2025
- Knowledge cutoff
- 2025-07
- Regions
- —
- API specifications
- V2, V3, V4
- Temperature control
- Supported
Model identifier
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