AkashML
5 indexed models
- Headquarters
- N/a
- Server regions
- N/a
- Model types
- 5 text
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Same-model provider benchmark
Compare AkashML and io.net on 3 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
5 indexed models
4 indexed models
At a glance
There is no overall score. Each winner answers one specific question using only directly comparable data.
| Metric | ||
|---|---|---|
| Speed | AkashML16.02 s | io.net12.09 s |
| TTFT | AkashML1.33 s | io.net1.87 s |
| TPS | AkashML35.0 tok/s | io.net44.0 tok/s |
| Uptime | AkashML99.74% | io.net99.88% |
| Blended | AkashML$0.9822 / 1M | io.net$1.6407 / 1M |
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
io.net 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.
AkashML has the lower typical price ratio across 3 priced shared models.
| Model | ||
|---|---|---|
GLM 5.2Winner · AkashML | AkashML
| io.net
|
Qwen3.6 35B A3BWinner · AkashML | AkashML
| io.net
|
DeepSeek V4 FlashWinner · AkashML | AkashML
| io.net
|
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 io.net analysis
AkashML and io.net share 3 indexed text models, including GLM 5.2, Qwen3.6 35B A3B, DeepSeek V4 Flash. io.net has the stronger typical response-time result on the directly measured set.
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.
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.
AkashML has 5 indexed models and lists no published server regions; io.net has 4 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.
Related same-model benchmarks
Explore qualified alternatives with the most shared measured models. Recommendations include comparisons for both AkashML and io.net.