Phala
18 indexed models
- Headquarters
United States
- Server regions
- N/a
- Model types
- 18 text
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Same-model provider benchmark
Compare Phala and Weights & Biases on 8 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
18 indexed models
19 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
2.55× typical advantage
8 exact models with complete recent speed data
Lowest token cost
$0.8825 / 1M
8 exact models using a 1K-input/500-output mix
Most models available
19 models
Complete catalog coverage across all indexed modalities
| Metric | Phala | Weights & Biases |
|---|---|---|
| Typical 500-token response | 16.36 s | 6.17 s |
| Typical response start | 1.50 s | 0.41 s |
| Typical output speed | 35.0 tok/s | 85.0 tok/s |
| Blended token price | $0.91 / 1M | $0.8825 / 1M |
| Typical route uptime | 99.71% | 99.79% |
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Weights & Biases has the lower typical same-model response ratio across 8 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
Weights & Biases has the lower typical price ratio across 8 priced shared models.
| Model | Phala | Weights & Biases |
|---|---|---|
GLM 5.2Winner · Weights & Biases z-ai/glm-5.2 | Phala
| Weights & Biases
|
Qwen3.6 27BWinner · Weights & Biases qwen/qwen3.6-27b | Phala
| Weights & Biases
|
Kimi K2.6Winner · Weights & Biases moonshotai/kimi-k2.6 | Phala
| Weights & Biases
|
Gemma 4 31BWinner · Weights & Biases google/gemma-4-31b-it | Phala
| Weights & Biases
|
MiniMax M2.5Winner · Weights & Biases minimax/minimax-m2.5 | Phala
| Weights & Biases
|
gpt-oss-120bWinner · Weights & Biases openai/gpt-oss-120b | Phala
| Weights & Biases
|
gpt-oss-20bWinner · Weights & Biases openai/gpt-oss-20b | Phala
| Weights & Biases
|
Qwen3 30B A3B Instruct 2507Winner · Weights & Biases qwen/qwen3-30b-a3b-instruct-2507 | Phala
| Weights & Biases
|
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 Weights & Biases analysis
Phala and Weights & Biases share 8 indexed text models, including GLM 5.2, Qwen3.6 27B, Kimi K2.6, Gemma 4 31B, MiniMax M2.5. Weights & Biases has the stronger typical response-time result on the directly measured set.
8 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.
8 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.
Phala has 18 indexed models and lists no published server regions; Weights & Biases has 19 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.
Related same-model benchmarks
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