Phala
18 indexed models
- Headquarters
United States- Server regions
- N/a
- Model types
- 18 text
Same-model provider benchmark
Phala vs Z.ai: LLM provider comparison
Compare Phala and Z.ai on 4 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
Z.ai
11 indexed models
- Headquarters
Singapore- Server regions
- Singapore
- Model types
- 11 text
At a glance
Metric winners
There is no overall score. Each winner answers one specific question using only directly comparable data.
Shared-model benchmark summary
| Metric | Phala | Z.ai |
|---|---|---|
| Typical 500-token response | 22.33 s | 28.62 s |
| Typical response start | 2.53 s | 5.79 s |
| Typical output speed | 28.5 tok/s | 22.5 tok/s |
| Blended token price | $2.06 / 1M | $1.9167 / 1M |
| Typical route uptime | 86.82% | 99.10% |
Visual comparison
Price and performance charts
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Phala has the lower typical same-model response ratio across 4 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
Z.ai has the lower typical price ratio across 4 priced shared models.
| Model | Phala | Z.ai |
|---|---|---|
 GLM 5.2Winner · Phala z-ai/glm-5.2 | Phala
| Z.ai
|
GLM 5.1Winner · Z.ai z-ai/glm-5.1 | Phala
| Z.ai
|
GLM 5Winner · Phala z-ai/glm-5 | Phala
| Z.ai
|
GLM 4.7Winner · Phala z-ai/glm-4.7 | Phala
| Z.ai
|
A per-model winner combines blended price and estimated 500-token response time with equal proportional weight. Ties and rows missing either measurement receive no badge. Comparison data calculated . Values use one deterministic route per provider and model; missing measurements remain visible as N/a.
Phala vs Z.ai analysis
How Phala and Z.ai compare for AI inference
Phala and Z.ai share 4 indexed text models, including GLM 5.2, GLM 5.1, GLM 5, GLM 4.7. Phala has the stronger typical response-time result on the directly measured set.
Same-model speed evidence
4 shared models currently have complete response-start and output-speed measurements on both providers. The speed comparison uses per-model ratios before taking the median, so naturally faster model catalogs do not improve the result.
Token pricing on one workload
4 shared models have complete input and output prices on both providers. Prices use the same 1,000-input/500-output-token mix and are normalized to one million tokens for readability.
Catalog and deployment differences
Phala has 18 indexed models and lists no published server regions; Z.ai has 11 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.
Related same-model benchmarks
Compare with other providers
Explore qualified alternatives with the most shared measured models. Recommendations include comparisons for both Phala and Z.ai.
