Phala
18 indexed models
- Headquarters
United States- Server regions
- N/a
- Model types
- 18 text
Same-model provider benchmark
Phala vs SambaNova: LLM provider comparison
Compare Phala and SambaNova on 3 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
SambaNova
6 indexed models
- Headquarters
- United States
- Server regions
- N/a
- Model types
- 6 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 | Phala | SambaNova |
|---|---|---|
| Typical 500-token response | 53.66 s | 8.65 s |
| Typical response start | 3.66 s | 3.33 s |
| Typical output speed | 10.0 tok/s | 94.0 tok/s |
| Blended token price | $0.5178 / 1M | $1.5156 / 1M |
| Typical route uptime | 76.27% | 98.40% |
Visual comparison
Price and performance charts
Estimated seconds using recent median response-start and output-speed data. Lower is better.
SambaNova 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.
Phala has the lower typical price ratio across 3 priced shared models.
| Model | Phala | SambaNova |
|---|---|---|
 Gemma 4 31BWinner · SambaNova google/gemma-4-31b-it | Phala
| SambaNova
|
 DeepSeek V3.2Winner · Phala deepseek/deepseek-v3.2 | Phala
| SambaNova
|
 gpt-oss-120bWinner · SambaNova openai/gpt-oss-120b | Phala
| SambaNova
|
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.
Phala vs SambaNova analysis
How Phala and SambaNova compare for AI inference
Phala and SambaNova share 3 indexed text models, including Gemma 4 31B, DeepSeek V3.2, gpt-oss-120b. SambaNova 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
Phala has 18 indexed models and lists no published server regions; SambaNova has 6 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 Phala and SambaNova.
