DigitalOcean
16 indexed models
- Headquarters
- N/a
- Server regions
- N/a
- Model types
- 16 text
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Same-model provider benchmark
Compare DigitalOcean and Phala on 9 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
16 indexed models
18 indexed models
At a glance
There is no overall score. Each winner answers one specific question using only directly comparable data.
Fastest on shared models
1.16× typical advantage
9 exact models with complete recent speed data
Lowest token cost
$1.1687 / 1M
9 exact models using a 1K-input/500-output mix
Most models available
18 models
Complete catalog coverage across all indexed modalities
| Metric | DigitalOcean | Phala |
|---|---|---|
| Typical 500-token response | 29.06 s | 22.96 s |
| Typical response start | 1.28 s | 2.84 s |
| Typical output speed | 18.0 tok/s | 25.0 tok/s |
| Blended token price | $1.1687 / 1M | $1.5178 / 1M |
| Typical route uptime | 98.78% | 98.54% |
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
DigitalOcean has the lower typical same-model response ratio across 9 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
DigitalOcean has the lower typical price ratio across 9 priced shared models.
| Model | DigitalOcean | Phala |
|---|---|---|
GLM 5.2Winner · DigitalOcean z-ai/glm-5.2 | DigitalOcean
| Phala
|
Kimi K2.6Winner · DigitalOcean moonshotai/kimi-k2.6 | DigitalOcean
| Phala
|
GLM 5.1Winner · DigitalOcean z-ai/glm-5.1 | DigitalOcean
| Phala
|
Qwen3.5 397B A17BWinner · Phala qwen/qwen3.5-397b-a17b | DigitalOcean
| Phala
|
MiniMax M2.5Winner · DigitalOcean minimax/minimax-m2.5 | DigitalOcean
| Phala
|
GLM 5Winner · Phala z-ai/glm-5 | DigitalOcean
| Phala
|
Kimi K2.5Winner · Phala moonshotai/kimi-k2.5 | DigitalOcean
| Phala
|
DeepSeek V3.2Winner · DigitalOcean deepseek/deepseek-v3.2 | DigitalOcean
| Phala
|
gpt-oss-120bWinner · Phala openai/gpt-oss-120b | DigitalOcean
| 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.
DigitalOcean vs Phala analysis
DigitalOcean and Phala share 9 indexed text models, including GLM 5.2, Kimi K2.6, GLM 5.1, Qwen3.5 397B A17B, MiniMax M2.5. DigitalOcean has the stronger typical response-time result on the directly measured set.
9 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.
9 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.
DigitalOcean has 16 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
Explore qualified alternatives with the most shared measured models. Recommendations include comparisons for both DigitalOcean and Phala.