Cerebras
3 indexed models
- Headquarters
United States- Server regions
- N/a
- Model types
- 3 text
Same-model provider benchmark
Cerebras vs Phala: LLM provider comparison
Compare Cerebras and Phala on 3 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 | Cerebras | Phala |
|---|---|---|
| Typical 500-token response | 2.40 s | 21.70 s |
| Typical response start | 0.23 s | 1.70 s |
| Typical output speed | 253.0 tok/s | 25.0 tok/s |
| Blended token price | $1.3522 / 1M | $0.74 / 1M |
| Typical route uptime | 99.97% | 76.27% |
Visual comparison
Price and performance charts
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Cerebras 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 | Cerebras | Phala |
|---|---|---|
 Gemma 4 31BWinner · Cerebras google/gemma-4-31b-it | Cerebras
| Phala
|
 GLM 4.7Winner · Cerebras z-ai/glm-4.7 | Cerebras
| Phala
|
 gpt-oss-120bWinner · Cerebras openai/gpt-oss-120b | Cerebras
| 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.
Cerebras vs Phala analysis
How Cerebras and Phala compare for AI inference
Cerebras and Phala share 3 indexed text models, including Gemma 4 31B, GLM 4.7, gpt-oss-120b. Cerebras 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
Cerebras has 3 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 Cerebras and Phala.
