Alibaba Cloud Int.
48 indexed models
- Headquarters
Singapore
- Server regions
Singapore
China
- Model types
- 45 text, 2 video, 1 transcription
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Same-model provider benchmark
Compare Alibaba Cloud Int. and SiliconFlow on 13 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
48 indexed models
36 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
2.24× typical advantage
13 exact models with complete recent speed data
Lowest token cost
$0.7753 / 1M
13 exact models using a 1K-input/500-output mix
Most models available
48 models
Complete catalog coverage across all indexed modalities
| Metric | Alibaba Cloud Int. | SiliconFlow |
|---|---|---|
| Typical 500-token response | 12.56 s | 22.45 s |
| Typical response start | 0.89 s | 1.69 s |
| Typical output speed | 46.0 tok/s | 24.0 tok/s |
| Blended token price | $0.7753 / 1M | $0.7795 / 1M |
| Typical route uptime | 99.88% | 97.03% |
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Alibaba Cloud Int. has the lower typical same-model response ratio across 13 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
Alibaba Cloud Int. has the lower typical price ratio across 13 priced shared models.
| Model | Alibaba Cloud Int. | SiliconFlow |
|---|---|---|
GLM 5.2Winner · Alibaba Cloud Int. z-ai/glm-5.2 | Alibaba Cloud Int.
| SiliconFlow
|
Qwen3.6 27BWinner · Alibaba Cloud Int. qwen/qwen3.6-27b | Alibaba Cloud Int.
| SiliconFlow
|
DeepSeek V4 ProWinner · Alibaba Cloud Int. deepseek/deepseek-v4-pro | Alibaba Cloud Int.
| SiliconFlow
|
DeepSeek V4 FlashWinner · SiliconFlow deepseek/deepseek-v4-flash | Alibaba Cloud Int.
| SiliconFlow
|
Qwen3.5-35B-A3BWinner · Alibaba Cloud Int. qwen/qwen3.5-35b-a3b | Alibaba Cloud Int.
| SiliconFlow
|
Qwen3.5-27BWinner · Alibaba Cloud Int. qwen/qwen3.5-27b | Alibaba Cloud Int.
| SiliconFlow
|
Qwen3.5-122B-A10BWinner · Alibaba Cloud Int. qwen/qwen3.5-122b-a10b | Alibaba Cloud Int.
| SiliconFlow
|
DeepSeek V3.2Winner · SiliconFlow deepseek/deepseek-v3.2 | Alibaba Cloud Int.
| SiliconFlow
|
Qwen3 VL 30B A3B ThinkingWinner · Alibaba Cloud Int. qwen/qwen3-vl-30b-a3b-thinking | Alibaba Cloud Int.
| SiliconFlow
|
Qwen3 VL 30B A3B InstructWinner · Alibaba Cloud Int. qwen/qwen3-vl-30b-a3b-instruct | Alibaba Cloud Int.
| SiliconFlow
|
Qwen3 Coder 30B A3B InstructWinner · SiliconFlow qwen/qwen3-coder-30b-a3b-instruct | Alibaba Cloud Int.
| SiliconFlow
|
Qwen3 30B A3B Instruct 2507Winner · Alibaba Cloud Int. qwen/qwen3-30b-a3b-instruct-2507 | Alibaba Cloud Int.
| SiliconFlow
|
Qwen3 32BWinner · Alibaba Cloud Int. qwen/qwen3-32b | Alibaba Cloud Int.
| SiliconFlow
|
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.
Alibaba Cloud Int. vs SiliconFlow analysis
Alibaba Cloud Int. and SiliconFlow share 13 indexed text models, including GLM 5.2, Qwen3.6 27B, DeepSeek V4 Pro, DeepSeek V4 Flash, Qwen3.5-35B-A3B. Alibaba Cloud Int. has the stronger typical response-time result on the directly measured set.
13 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.
13 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.
Alibaba Cloud Int. has 48 indexed models and lists 2 published server regions; SiliconFlow has 36 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.
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