AtlasCloud
31 indexed models
- Headquarters
United States- Server regions
- N/a
- Model types
- 26 text, 5 video
Same-model provider benchmark
AtlasCloud vs Phala: LLM provider comparison
Compare AtlasCloud and Phala on 10 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
Phala
18 indexed models
- Headquarters
- United States
- Server regions
- N/a
- Model types
- 18 text
At a glance
Metric winners
There is no overall score. Each winner answers one specific question using only directly comparable data.
Fastest on shared models
1.32× typical advantage
10 exact models with complete recent speed data
Lowest token cost
$1.3423 / 1M
10 exact models using a 1K-input/500-output mix
Most models available
31 models
Complete catalog coverage across all indexed modalities
Shared-model benchmark summary
| Metric | AtlasCloud | Phala |
|---|---|---|
| Typical 500-token response | 19.52 s | 22.33 s |
| Typical response start | 2.11 s | 2.47 s |
| Typical output speed | 28.5 tok/s | 25.0 tok/s |
| Blended token price | $1.3423 / 1M | $1.6027 / 1M |
| Typical route uptime | 99.36% | 97.83% |
Visual comparison
Price and performance charts
Estimated seconds using recent median response-start and output-speed data. Lower is better.
AtlasCloud has the lower typical same-model response ratio across 10 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
AtlasCloud has the lower typical price ratio across 10 priced shared models.
| Model | AtlasCloud | Phala |
|---|---|---|
 GLM 5.2Winner · AtlasCloud z-ai/glm-5.2 | AtlasCloud
| Phala
|
 Kimi K2.6Winner · AtlasCloud moonshotai/kimi-k2.6 | AtlasCloud
| Phala
|
GLM 5.1Winner · AtlasCloud z-ai/glm-5.1 | AtlasCloud
| Phala
|
 Qwen3.5-27BWinner · Phala qwen/qwen3.5-27b | AtlasCloud
| Phala
|
Qwen3.5 397B A17BWinner · AtlasCloud qwen/qwen3.5-397b-a17b | AtlasCloud
| Phala
|
 MiniMax M2.5Winner · AtlasCloud minimax/minimax-m2.5 | AtlasCloud
| Phala
|
GLM 5Winner · AtlasCloud z-ai/glm-5 | AtlasCloud
| Phala
|
Kimi K2.5Winner · AtlasCloud moonshotai/kimi-k2.5 | AtlasCloud
| Phala
|
GLM 4.7Winner · AtlasCloud z-ai/glm-4.7 | AtlasCloud
| Phala
|
 DeepSeek V3.2Winner · AtlasCloud deepseek/deepseek-v3.2 | AtlasCloud
| Phala
|
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.
AtlasCloud vs Phala analysis
How AtlasCloud and Phala compare for AI inference
AtlasCloud and Phala share 10 indexed text models, including GLM 5.2, Kimi K2.6, GLM 5.1, Qwen3.5-27B, Qwen3.5 397B A17B. AtlasCloud has the stronger typical response-time result on the directly measured set.
Same-model speed evidence
10 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
10 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
AtlasCloud has 31 indexed models and lists no published server regions; Phala has 18 models and lists no regions. 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 AtlasCloud and Phala.
