Chutes
9 indexed models
- Headquarters
United States- Server regions
- N/a
- Model types
- 9 text
Same-model provider benchmark
Chutes vs Z.ai: LLM provider comparison
Compare Chutes and Z.ai on 3 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 | ||
|---|---|---|
| Speed | Chutes19.10 s | Z.ai20.71 s |
| TTFT | Chutes2.43 s | Z.ai4.58 s |
| TPS | Chutes30.0 tok/s | Z.ai33.0 tok/s |
| Uptime | Chutes68.60% | Z.ai99.94% |
| Blended | Chutes$1.8544 / 1M | Z.ai$2.1778 / 1M |
Green value Better comparable resultRed value Worse comparable result
Visual comparison
Price and performance charts
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Z.ai has the lower typical same-model response ratio across 3 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
Chutes has the lower typical price ratio across 3 priced shared models.
| Model | ||
|---|---|---|
 GLM 5.2Winner · Chutes | Chutes
| Z.ai
|
GLM 5.1Winner · Chutes | Chutes
| Z.ai
|
GLM 5Winner · Z.ai | Chutes
| 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.
Chutes vs Z.ai analysis
How Chutes and Z.ai compare for AI inference
Chutes and Z.ai share 3 indexed text models, including GLM 5.2, GLM 5.1, GLM 5. Z.ai has the stronger typical response-time result on the directly measured set.
Same-model speed evidence
3 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
3 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
Chutes has 9 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 Chutes and Z.ai.
