Auxen vs the alternatives.
Honest side-by-side comparisons. Each page explains where the competitor wins and where Auxen wins — no marketing spin. If a different platform fits your workload better, we'll say so.
At a glance
| Platform | Shape | Pricing | Data isolation | Best for |
|---|---|---|---|---|
| Auxen vs Modal | Serverless compute functions — you write Python, Modal runs it on demand. | Per-second of compute time, started per call. | You build your own isolation on shared serverless infra. Auxen is single-tenant by default — one private deployment, one model, yours only. | Bursty Python ML workloads, custom inference servers, batch jobs. |
| Auxen vs RunPod | Raw hardware rentals — SSH in, install your own server, manage uptime. | Per hour of rented hardware. Community Cloud A100 80GB $1.39/hr, H100 80GB $2.89/hr. | Dedicated machines, but tenancy and data handling are yours to configure and secure. Auxen ships single-tenant isolation as the default posture. | Training, custom inference stacks, full operational control. |
| Auxen vs Replicate | Model marketplace — thousands of community + first-party models, shared. | Per-second of compute time, or per-token for some LLM endpoints. | Shared, multi-tenant infrastructure. Auxen gives you a private, single-tenant deployment with no shared inference and no third-party routing. | Multi-modal apps (LLM + image + audio), sporadic batch jobs. |
| Auxen vs Together AI | Serverless per-token inference. Wide open-source LLM catalog. | Per million tokens. ~$0.20–$0.88/M depending on model. | Shared per-token endpoints — your prompts transit a multi-tenant service. Auxen keeps data in your private deployment, erased when you delete it. | Bursty API traffic, broad model evaluation, hosted fine-tuning. |
| Auxen vs Fireworks AI | Fast serverless per-token inference with strong function calling. | Per million tokens. ~$0.20–$0.90/M depending on model. | Shared per-token API — fast, but multi-tenant. Auxen is single-tenant: your requests are answered by a private deployment that serves only you. | Latency-sensitive workloads, heavy structured-output usage. |
| Auxen vs Anyscale | Self-serve Endpoints sunset Aug 2024 — LLM serving now requires enterprise Platform. | Custom enterprise pricing via sales conversation. | Enterprise Platform tenancy, sales-led. Auxen is self-serve single-tenant — a dedicated private model without a sales conversation. | Teams with Ray investment and dedicated ML platform engineers. |
When Auxen is the right fit
You want a private, single-tenant model endpoint without writing serving code — and data that never touches a shared system.
You want a managed, single-tenant model with isolation your compliance team can sign off on — not a raw machine you have to secure yourself.
You need a dedicated, single-tenant model on a stable endpoint — because your data can't run through shared infrastructure.
You need a private, dedicated model with no shared inference and no third-party routing — not the lowest per-token price.
You need single-tenant isolation your compliance team will approve — and can't send data through a shared inference API.
You were using Endpoints and want a self-serve, single-tenant private model instead of a sales-led platform deal.
Where Auxen isn't the answer
Auxen is LLM-focused, single-tenant, and built for steady traffic on a single model, billed per minute while it's active. It's not the right tool if:
- Your traffic is genuinely sporadic — a few hundred calls a day with idle time in between. Per-token serverless (Together, Fireworks) is cheaper at that volume.
- Your product spans multiple modalities (image + audio + LLM). Replicate's catalog covers that better.
- You need raw hardware access for training or non-LLM workloads. RunPod is the right shape.
- You're heavily invested in Ray-based ML infrastructure. The Anyscale Platform is what you want.
- You need weight-level fine-tuning today. Auxen has Persona Studio (system prompt + RAG) but full fine-tuning is on the roadmap, not active.
See if Auxen fits your workload.
$10 to start. No subscription, billed per minute while it's active. Deploy a private model in minutes and see the API surface yourself.