Key facts
| What it is | Cloud inference on SambaNova's own hardware |
| API style | OpenAI-compatible chat completions |
| Catalogue | Curated set of popular open models |
| Strength | Fast inference for supported models |
| Billing | Usage-based |
| Plugsky model | Managed catalogue of 30+ models across families |
| Plugsky pricing | Flat monthly self-serve plans; free plan with two models |
| Plugsky deployment | Cloud, VPC, on-prem or air-gapped |
TL;DR
- SambaNova optimises speed on a curated set of open models.
- Plugsky optimises breadth, predictable pricing and private deployment.
- If a supported model meets your latency target, benchmark it on your own prompts.
- If you need many families or residency options, Plugsky is the fit.
- Both are OpenAI-compatible, so evaluating both is cheap.
How it works, step by step
- Define the latency target and the models that must meet it.
- Benchmark candidate models on each host with your own prompts.
- Test the same workload on Plugsky models for quality and consistency.
- Compare cost at your real volume across usage-based and flat plans.
- Check residency and deployment requirements for each option.
- Route latency-critical and general workloads separately if needed.
Try it yourself
Open the SambaNova API cost calculator →
Speed as a product
SambaNova sells throughput and responsiveness. Its cloud runs a selection of popular open models on hardware the company designs, and the API speaks the OpenAI dialect, so adoption is mostly a base URL change. For interactive products where time to first token shapes the experience, that focus is valuable.
The trade is catalogue shape. A hardware-optimised platform curates aggressively, so the models available are the ones worth optimising for the platform rather than every model your team might want to try.
Breadth and deployment as a product
Plugsky takes the opposite approach: a broader catalogue of 30+ models across families, one OpenAI-compatible endpoint, and flat monthly self-serve plans that make cost predictable as usage grows. The free plan covers plugsky-micro and plugsky-lite for evaluation, and enterprise deployment extends to VPC, on-prem and air-gapped environments. Current plans are on the live pricing page.
What Plugsky does not promise is best-in-class speed on every model. Its advantage is having many models available with consistent tooling and a controlled data path, not optimising one model to the last millisecond.
Choosing with benchmarks, not claims
Latency claims are workload-specific, so treat them as hypotheses. Take the models you actually use, send your real prompt lengths and concurrency, and measure time to first token and completion time on both platforms. Include long-context requests, because ranking can change when prompts grow.
Then weigh that result against price shape and residency. A faster endpoint that costs more per token or cannot meet a data-path requirement is not a win. Some teams run latency-critical features on one platform and the rest on a managed catalogue; keeping both OpenAI-compatible makes that split cheap to maintain.
Honest comparison
| Dimension | Plugsky | SambaNova Cloud | What to verify |
|---|---|---|---|
| Catalogue | 30+ models across families | Curated high-performance open models | Coverage of your model list |
| Performance focus | Consistent managed service | Fast inference on own hardware | Your prompts and concurrency |
| API compatibility | OpenAI-compatible | OpenAI-compatible | Parameter support |
| Pricing | Flat monthly self-serve plans | Usage-based | Cost at your volume |
| Deployment | Cloud, VPC, on-prem, air-gapped | Hosted cloud | Residency requirements |
| Free access | Free plan with two models plus trial | Free credits vary | Evaluation budget |
Frequently asked questions
Is SambaNova faster than Plugsky?
It depends on the model and workload. SambaNova optimises specific models on its own hardware, so benchmark your prompts and concurrency rather than relying on general claims.
Does Plugsky offer the same open models?
Plugsky serves a curated catalogue of 30+ models across families. Check the live catalogue for specific models, because coverage differs from a hardware-optimised platform.
Which is better for regulated deployments?
Plugsky offers region choice plus VPC, on-prem and air-gapped deployment, which suits stricter data-path requirements. Verify SambaNova's current regional and contractual options for your case.
Are both APIs OpenAI-compatible?
Yes, both use OpenAI-style chat completions in practice, so the same client can call either with a base URL and model name change.
How do the pricing models compare?
SambaNova bills usage-based, while Plugsky self-serve plans are flat monthly with unlimited fair use on paid tiers. Compare at your real volume.
Can I use both platforms?
Yes. Route latency-critical features to the faster host and general workloads to a managed catalogue with predictable pricing and residency options.
What should I measure in an evaluation?
Time to first token, completion time at your prompt lengths, cost per request and output quality on your task set, tested under realistic concurrency.