BentoML vs Portkey (2026): Pricing, Features & Verdict
Portkey is our pick, scoring 7.8/10 against 7/10 for BentoML on our AI Software criteria. Its biggest advantage: higher Analytics score (9/10 vs 6/10). For 10 users, BentoML and Portkey are both free; both BentoML and Portkey have a free plan.
Last updated: November 2026
BentoML
7/10
BentoML is an open-source model serving framework with a managed inference platform (Bento Cloud) for deploying and scaling AI models on GPUs, in its cloud or yours.
Portkey
7.8/10
Portkey is an AI gateway and LLMOps control plane that routes, monitors, and governs requests to 1,600+ LLMs for engineering teams and enterprises.
Feature-by-Feature Comparison
| Feature | | |
|---|---|---|
| Scores | ||
| Overall Rating | 7/10 | 7.8/10 |
| Integration | 7/10 | 9/10 |
| Analytics | 6/10 | 9/10 |
| Customization | 8/10 | 7/10 |
| Ease of Use | 7/10 | 8/10 |
| Support | 7/10 | 6/10 |
| Cost | 6/10 | 7/10 |
| Scalability | 8/10 | 8/10 |
| Security | 7/10 | 8/10 |
| Pricing | ||
| Free plan | Yes | Yes |
| Cheapest paid plan | Contact for pricing | $49/mo Production |
| Estimated cost for 10 users | Free Open Source (Self-Hosted) | Free Open Source |
| Features | ||
| API and CLI | ||
| Managed WordPress | ||
| Multiple Regions | Not listed | |
| Uptime SLA | ||
| Serverless Functions | Not listed | |
| Managed Kubernetes | Not listed | |
| Cloud Compute | Not listed | |
| Shared Hosting | ||
| Object Storage | Not listed | |
| Dedicated Servers | Not listed | |
| VPS Hosting | Not listed | |
BentoML vs Portkey cost by team size
BentoML and Portkey cost the same at every team size we checked.
| Team size | BentoML | Portkey |
|---|---|---|
| 1 user | FreeOpen Source (Self-Hosted) | FreeOpen Source |
| 5 users | FreeOpen Source (Self-Hosted) | FreeOpen Source |
| 10 users | FreeOpen Source (Self-Hosted) | FreeOpen Source |
| 25 users | FreeOpen Source (Self-Hosted) | FreeOpen Source |
| 50 users | FreeOpen Source (Self-Hosted) | FreeOpen Source |
The plan that fits each team size, billed monthly, before add-ons and usage charges. Each cost opens that tool's pricing calculator for the team size.
Who BentoML and Portkey suit
| Audience | BentoML | Portkey |
|---|---|---|
| Enterprise | 7/10It offers BYOC, on-prem deployment, SOC 2 Type 2 under Modular, and forward-deployed engineers, and the vendor cites 50+ Fortune 500 users. | 8/10The Enterprise plan adds SSO, RBAC, VPC deployment, and HIPAA/SOC 2 support, and the product is now part of Palo Alto Networks' Prisma AIRS. |
| SaaS Companies | 7/10It suits SaaS products that embed LLM or custom model inference. | 8/10Built for teams running production GenAI features across multiple LLM providers. |
| Developers | 9/10It is a Python-first framework and platform for turning models into production APIs. | 9/10Setup takes a few lines of code with OpenAI-compatible SDKs, and there is a free tier and an open-source gateway. |
| Startups | 7/10The open-source core is free and scale-to-zero keeps GPU costs down for small AI teams. | 7/10A free tier and a $49 Production plan keep the entry cost low. |
Which One Should You Choose?
Why choose BentoML
- Higher Customization score (8/10 vs 7/10)
- Higher Support score (7/10 vs 6/10)
Why choose Portkey
- Higher Analytics score (9/10 vs 6/10)
- Higher Integration score (9/10 vs 7/10)
Pros & Cons
BentoML
Pros
- The open-source Apache 2.0 framework can be self-hosted free with no licence lock-in.
- G2 reviewers praise how quickly it turns a Python model into a containerized API.
- Deployment is flexible: managed GPUs, BYOC in your own VPC, on-prem, or Kubernetes.
- It has inference-specific tooling: scale-to-zero, distributed multi-GPU inference, and canary, shadow and A/B rollouts.
- It runs on both NVIDIA and AMD GPUs, and Modular's hardware stack extends support further.
Cons
- The 2026 Modular acquisition means the product is merging into Modular Cloud, so the roadmap is uncertain.
- GPU hourly rates are not published, so dedicated capacity requires talking to sales.
- It covers serving only, with no experiment tracking, data versioning or pipeline orchestration.
- A G2 reviewer found self-hosting the Yatai production stack painful.
- There are few independent user reviews.
Portkey
Pros
- Unified API covering more than 1,600 models, with automatic fallbacks, retries, and load balancing.
- Detailed logs and traces show the latency, cost, and retry path of each request.
- An open-source core and a free tier let developers try it before paying.
- Enterprise governance features include budgets, rate limits, RBAC, SSO, and audit logs, with VPC deployment available.
Cons
- Since the 2026 acquisition, paid plans route through Palo Alto Networks' Prisma AIRS, which brings uncertainty about future pricing and roadmap.
- You pay for the gateway on top of LLM provider costs, and provider billing stays separate.
- Below Enterprise, support is community-only, and the free plan keeps logs for just 3 days.
- It may be more platform than needed for small prototypes that want only a simple proxy.
Not sold on either?
Frequently Asked Questions
Portkey scores higher on our AI Software criteria: 7.8/10 against 7/10 for BentoML. The largest gap is in Analytics: 6/10 for BentoML and 9/10 for Portkey.
Both are free for 10 users.
Yes, both BentoML and Portkey have a free plan.
