Baseten vs Runpod (2026): Pricing, Features & Verdict
Baseten and Runpod both score 6.8/10 on our AI Software criteria. Neither Baseten nor Runpod lists a free plan.
Last updated: November 2026
Baseten
6.8/10
Baseten is an AI inference platform that lets engineering teams serve, scale and train open-weight and custom models on managed multi-cloud GPUs, billed per minute.
Runpod
6.8/10
Runpod is a GPU cloud for AI teams, offering per-second GPU pods, autoscaling serverless inference endpoints, and multi-node instant clusters.
Feature-by-Feature Comparison
| Feature | | |
|---|---|---|
| Scores | ||
| Overall Rating | 6.8/10 | 6.8/10 |
| Integration | 6/10 | 6/10 |
| Analytics | 7/10 | 5/10 |
| Customization | 8/10 | 8/10 |
| Ease of Use | 6/10 | 7/10 |
| Support | 6/10 | 4/10 |
| Cost | 5/10 | 8/10 |
| Scalability | 9/10 | 8/10 |
| Security | 9/10 | 7/10 |
| Pricing | ||
| Free plan | No | No |
| Cheapest paid plan | Contact for pricing | Contact for pricing |
| Estimated cost for 10 users | Contact for pricing | Contact for pricing |
| Features | ||
| API and CLI | ||
| Managed Databases | Not listed | |
| Multiple Regions | ||
| Object Storage | Not listed | |
| Uptime SLA | ||
| Serverless Functions | ||
| Cloud Compute | ||
| Managed WordPress | Not listed | |
| Git Deployments | Not listed | |
| Shared Hosting | Not listed | |
Who Baseten and Runpod suit
Baseten fits enterprise and saas companies better than Runpod.
| Audience | Baseten | Runpod |
|---|---|---|
| Enterprise | 8/10Offers SOC 2 Type II, HIPAA BAAs, single-tenant and self-hosted deployments, BYOK encryption and negotiated SLAs. | 6/10Enterprise contracts add a 99.99% SLA and compliance reports, but self-serve reliability is uneven. |
| SaaS Companies | 9/10Software companies such as Cursor, Notion and Lovable use it to serve AI features in their products. | 7/10Serverless inference endpoints that scale to zero suit AI-powered SaaS products. |
| Startups | 8/10No contract and per-minute billing with scale to zero suit AI startups, though bills can rise fast with traffic. | 9/10No-commitment, per-second GPU billing suits startups with bursty AI workloads and tight budgets. |
| Developers | 9/10Built for ML and software engineers who package models with a CLI, config files and Python classes. | 9/10The platform is built for ML developers, with templates, SSH, an SDK and a CLI. |
| Freelancers | Not rated | 7/10Low community GPU rates appeal to individual builders. |
| Healthcare | 7/10Supports HIPAA with a BAA and zero retention for synchronous inference, and is used by clinical AI firms such as Abridge and OpenEvidence. | Not rated |
| Small Business | 2/10Requires ML engineering skills and offers no no-code tools for non-technical teams. | Not rated |
Which One Should You Choose?
Why choose Baseten
- Higher Analytics score (7/10 vs 5/10)
- Higher Support score (6/10 vs 4/10)
- Better fit for saas companies (9/10 vs 7/10)
- Better fit for enterprise (8/10 vs 6/10)
Why choose Runpod
- Higher Cost score (8/10 vs 5/10)
- Higher Ease of Use score (7/10 vs 6/10)
Pros & Cons
Baseten
Pros
- Broad compliance coverage: SOC 2 Type II, SOC 3, HIPAA with a BAA, GDPR and PCI DSS, plus BYOK encryption for model weights and payloads.
- Flexible deployment: the same stack runs on Baseten's multi-cloud pool, on single-tenant clusters, or in a self-hosted data plane inside your own VPC.
- Per-minute GPU billing and scale to zero (min replicas defaults to 0) mean idle dev deployments cost nothing.
- Wide range of GPUs, from T4 at about $0.63 an hour to B200 at about $9.98 an hour, with failover across 20+ cloud providers.
- Built-in logs, metrics and traces for every dedicated deployment, exportable to Datadog, Prometheus, Grafana and New Relic.
Cons
- Covers inference, training and sandboxes only, so databases, object storage and general app hosting need another provider.
- Dedicated replicas bill per minute while they run, including cold-start time and the default 15-minute scale-down delay, which can make bills hard to predict.
- Built for ML engineers. Reviewers say non-technical teams will struggle, and performance tuning still needs ML expertise.
- Very few independent reviews: G2 lists too few reviews to give buying insight.
- SLAs, reserved capacity and volume discounts are only available through negotiated contracts with sales.
Runpod
Pros
- Per-second billing with no ingress or egress fees keeps short experiments cheap.
- Community Cloud GPUs cost far less than hyperscalers, for example an RTX 4090 at $0.34 per hour.
- Serverless endpoints scale to zero, so spiky inference traffic costs nothing when idle.
- A wide catalogue of more than 30 GPU models, including B200 and B300, across 31 regions.
- Secure Cloud is backed by SOC 2 Type II and ISO 27001 compliance.
Cons
- Community Cloud machines can drop out mid-job, and some users report pods that crash while billing continues.
- GPU availability fluctuates, and listed GPUs can disappear before you launch.
- Standard accounts have no published support response times or uptime SLA, and the SLA is limited to enterprise contracts.
- Stopped pods pay double for volume disk, and deposited credits are non-refundable.
- Serverless assumes Docker knowledge, and network volumes are tied to a single region.
Not sold on either?
Frequently Asked Questions
Baseten and Runpod both score 6.8/10 on our AI Software criteria. The largest gap is in Cost: 5/10 for Baseten and 8/10 for Runpod.
No, neither Baseten nor Runpod lists a free plan.
Baseten is the better fit for enterprise: we rate it 8/10 for them, against 6/10 for Runpod.
