DigitalOcean
16 indexed models
- Headquarters
- N/a
- Server regions
- N/a
- Model types
- 16 text
Start typing to search.
Same-model provider benchmark
Compare DigitalOcean and Venice on 11 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
16 indexed models
29 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
1.99× typical advantage
11 exact models with complete recent speed data
Lowest token cost
$1.1343 / 1M
11 exact models using a 1K-input/500-output mix
Most models available
29 models
Complete catalog coverage across all indexed modalities
| Metric | DigitalOcean | Venice |
|---|---|---|
| Typical 500-token response | 33.90 s | 14.33 s |
| Typical response start | 1.13 s | 1.43 s |
| Typical output speed | 15.0 tok/s | 40.0 tok/s |
| Blended token price | $1.1343 / 1M | $1.4025 / 1M |
| Typical route uptime | 98.78% | 99.22% |
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Venice has the lower typical same-model response ratio across 11 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 11 priced shared models.
| Model | DigitalOcean | Venice |
|---|---|---|
GLM 5.2Winner · DigitalOcean z-ai/glm-5.2 | DigitalOcean
| Venice
|
DeepSeek V4 ProWinner · Venice deepseek/deepseek-v4-pro | DigitalOcean
| Venice
|
DeepSeek V4 FlashWinner · Venice deepseek/deepseek-v4-flash | DigitalOcean
| Venice
|
MiMo-V2.5Winner · Venice xiaomi/mimo-v2.5 | DigitalOcean
| Venice
|
Kimi K2.6Winner · Venice moonshotai/kimi-k2.6 | DigitalOcean
| Venice
|
GLM 5.1Winner · Venice z-ai/glm-5.1 | DigitalOcean
| Venice
|
Qwen3.5 397B A17BWinner · Venice qwen/qwen3.5-397b-a17b | DigitalOcean
| Venice
|
MiniMax M2.5Winner · DigitalOcean minimax/minimax-m2.5 | DigitalOcean
| Venice
|
GLM 5Winner · Venice z-ai/glm-5 | DigitalOcean
| Venice
|
Kimi K2.5Winner · Venice moonshotai/kimi-k2.5 | DigitalOcean
| Venice
|
DeepSeek V3.2Winner · Venice deepseek/deepseek-v3.2 | DigitalOcean
| Venice
|
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 Venice analysis
DigitalOcean and Venice share 11 indexed text models, including GLM 5.2, DeepSeek V4 Pro, DeepSeek V4 Flash, MiMo-V2.5, Kimi K2.6. Venice has the stronger typical response-time result on the directly measured set.
11 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.
11 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; Venice has 29 models and lists 1 region. 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 Venice.