DeepInfra
87 indexed models
- Headquarters
United States- Server regions
- N/a
- Model types
- 67 text, 15 embeddings, 5 speech
Same-model provider benchmark
DeepInfra vs Z.ai: LLM provider comparison
Compare DeepInfra and Z.ai on 5 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 | DeepInfra | Z.ai |
|---|---|---|
| Typical 500-token response | 18.81 s | 27.54 s |
| Typical response start | 0.83 s | 5.39 s |
| Typical output speed | 29.0 tok/s | 21.0 tok/s |
| Blended token price | $1.286 / 1M | $1.76 / 1M |
| Typical route uptime | 99.92% | 87.60% |
Visual comparison
Price and performance charts
DeepInfraEstimated seconds using recent median response-start and output-speed data. Lower is better.
DeepInfra has the lower typical same-model response ratio across 5 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
DeepInfra has the lower typical price ratio across 5 priced shared models.
| Model | DeepInfra | Z.ai |
|---|---|---|
 GLM 5.2Winner · DeepInfra z-ai/glm-5.2 | DeepInfra
| Z.ai
|
GLM 5.1Winner · DeepInfra z-ai/glm-5.1 | DeepInfra
| Z.ai
|
GLM 5Winner · DeepInfra z-ai/glm-5 | DeepInfra
| Z.ai
|
GLM 4.7Winner · DeepInfra z-ai/glm-4.7 | DeepInfra
| Z.ai
|
GLM 4.6Winner · DeepInfra z-ai/glm-4.6 | DeepInfra
| 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.
DeepInfra vs Z.ai analysis
How DeepInfra and Z.ai compare for AI inference
DeepInfra and Z.ai share 5 indexed text models, including GLM 5.2, GLM 5.1, GLM 5, GLM 4.7, GLM 4.6. DeepInfra has the stronger typical response-time result on the directly measured set.
Same-model speed evidence
5 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
5 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
DeepInfra has 87 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 DeepInfra and Z.ai.
