Nebius
13 indexed models
- Headquarters
Netherlands- Server regions
- N/a
- Model types
- 12 text, 1 embeddings
Same-model provider benchmark
Nebius vs Phala: LLM provider comparison
Compare Nebius and Phala on 4 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.
Shared-model benchmark summary
| Metric | Nebius | Phala |
|---|---|---|
| Typical 500-token response | 17.53 s | 25.13 s |
| Typical response start | 0.67 s | 1.42 s |
| Typical output speed | 51.0 tok/s | 38.0 tok/s |
| Blended token price | $0.7583 / 1M | $0.7608 / 1M |
| Typical route uptime | 95.66% | 71.90% |
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 4 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
Nebius has the lower typical price ratio across 4 priced shared models.
| Model | Nebius | Phala |
|---|---|---|
 GLM 5.1Winner · Nebius z-ai/glm-5.1 | Nebius
| Phala
|
 gpt-oss-120bWinner · Nebius openai/gpt-oss-120b | Nebius
| Phala
|
 Qwen3 30B A3B Instruct 2507Winner · Nebius qwen/qwen3-30b-a3b-instruct-2507 | Nebius
| Phala
|
 Gemma 3 27BWinner · Nebius google/gemma-3-27b-it | Nebius
| 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.
Nebius vs Phala analysis
How Nebius and Phala compare for AI inference
Nebius and Phala share 4 indexed text models, including GLM 5.1, gpt-oss-120b, Qwen3 30B A3B Instruct 2507, Gemma 3 27B. Nebius has the stronger typical response-time result on the directly measured set.
Same-model speed evidence
4 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
4 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
Nebius has 13 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 Nebius and Phala.
