AkashML
5 indexed models
- Headquarters
- N/a
- Server regions
- N/a
- Model types
- 5 text
Same-model provider benchmark
AkashML vs Alibaba Cloud Int.: LLM provider comparison
Compare AkashML and Alibaba Cloud Int. on 3 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
Alibaba Cloud Int.
48 indexed models
- Headquarters
Singapore- Server regions
- Singapore
China - Model types
- 45 text, 2 video, 1 transcription
At a glance
Metric winners
There is no overall score. Each winner answers one specific question using only directly comparable data.
Fastest on shared models
2.10× typical advantage
3 exact models with complete recent speed data
Lowest token cost
$0.9465 / 1M
3 exact models using a 1K-input/500-output mix
Most models available
48 models
Complete catalog coverage across all indexed modalities
Shared-model benchmark summary
| Metric | AkashML | Alibaba Cloud Int. |
|---|---|---|
| Typical 500-token response | 16.05 s | 12.56 s |
| Typical response start | 1.28 s | 1.52 s |
| Typical output speed | 34.0 tok/s | 46.0 tok/s |
| Blended token price | $0.9822 / 1M | $0.9465 / 1M |
| Typical route uptime | 99.38% | 99.88% |
Visual comparison
Price and performance charts
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 3 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 3 priced shared models.
| Model | AkashML | Alibaba Cloud Int. |
|---|---|---|
 GLM 5.2Winner · Alibaba Cloud Int. z-ai/glm-5.2 | AkashML
| Alibaba Cloud Int.
|
 DeepSeek V4 FlashWinner · Alibaba Cloud Int. deepseek/deepseek-v4-flash | AkashML
| Alibaba Cloud Int.
|
 Qwen3.5-35B-A3BWinner · Alibaba Cloud Int. qwen/qwen3.5-35b-a3b | AkashML
| Alibaba Cloud Int.
|
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.
AkashML vs Alibaba Cloud Int. analysis
How AkashML and Alibaba Cloud Int. compare for AI inference
AkashML and Alibaba Cloud Int. share 3 indexed text models, including GLM 5.2, DeepSeek V4 Flash, Qwen3.5-35B-A3B. Alibaba Cloud Int. 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
AkashML has 5 indexed models and lists no published server regions; Alibaba Cloud Int. has 48 models and lists 2 regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.
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