DigitalOcean
16 indexed models
- Headquarters
- N/a
- Server regions
- N/a
- Model types
- 16 text
Same-model provider benchmark
DigitalOcean vs Nebius: LLM provider comparison
Compare DigitalOcean and Nebius on 3 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
Nebius
13 indexed models
- Headquarters
Netherlands- Server regions
- N/a
- Model types
- 12 text, 1 embeddings
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
3.79× typical advantage
3 exact models with complete recent speed data
Lowest token cost
$0.8617 / 1M
3 exact models using a 1K-input/500-output mix
Most models available
16 models
Complete catalog coverage across all indexed modalities
Shared-model benchmark summary
| Metric | DigitalOcean | Nebius |
|---|---|---|
| Typical 500-token response | 29.06 s | 7.85 s |
| Typical response start | 3.36 s | 0.74 s |
| Typical output speed | 18.0 tok/s | 81.0 tok/s |
| Blended token price | $0.8617 / 1M | $1.0667 / 1M |
| Typical route uptime | 97.62% | 97.33% |
Visual comparison
Price and performance charts
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Nebius 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.
DigitalOcean has the lower typical price ratio across 3 priced shared models.
| Model | DigitalOcean | Nebius |
|---|---|---|
 GLM 5.1Winner · DigitalOcean z-ai/glm-5.1 | DigitalOcean
| Nebius
|
 Nemotron 3 SuperWinner · Nebius nvidia/nemotron-3-super-120b-a12b | DigitalOcean
| Nebius
|
 gpt-oss-120bWinner · Nebius openai/gpt-oss-120b | DigitalOcean
| Nebius
|
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 Nebius analysis
How DigitalOcean and Nebius compare for AI inference
DigitalOcean and Nebius share 3 indexed text models, including GLM 5.1, Nemotron 3 Super, gpt-oss-120b. Nebius 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
DigitalOcean has 16 indexed models and lists no published server regions; Nebius has 13 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 DigitalOcean and Nebius.
