Nebius vs Replicate (2026): Pricing, Features & Verdict
Nebius is our pick, scoring 6.6/10 against 6.2/10 for Replicate on our AI Software criteria. Its biggest advantage: higher Security score (8/10 vs 5/10). Neither Nebius nor Replicate lists a free plan.
Last updated: November 2026
Nebius
6.6/10
Nebius is an AI-focused cloud that rents NVIDIA GPU instances and clusters by the hour, with managed Kubernetes, Slurm, storage and inference services for ML teams.
Replicate
6.2/10
Replicate is a cloud platform that lets developers run, fine-tune and deploy open-source and custom AI models through an API, with GPUs billed by the second.
Feature-by-Feature Comparison
| Feature | | |
|---|---|---|
| Scores | ||
| Overall Rating | 6.6/10 | 6.2/10 |
| Integration | 6/10 | 7/10 |
| Analytics | 6/10 | 5/10 |
| Customization | 7/10 | 6/10 |
| Ease of Use | 6/10 | 8/10 |
| Support | 5/10 | 5/10 |
| Cost | 7/10 | 5/10 |
| Scalability | 8/10 | 7/10 |
| Security | 8/10 | 5/10 |
| 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 | |
| Managed WordPress | ||
| Multiple Regions | Not listed | |
| Object Storage | Not listed | |
| Serverless Functions | ||
| Managed Kubernetes | Not listed | |
| Cloud Compute | Not listed | |
| Shared Hosting | ||
| Uptime SLA | Not listed | |
| VPS Hosting | Not listed | |
Who Nebius and Replicate suit
Nebius fits enterprise better than Replicate.
| Audience | Nebius | Replicate |
|---|---|---|
| Enterprise | 7/10Large GB200 and GB300 clusters and a wide set of certifications suit big AI programs, though the service catalogue is narrower than a hyperscaler's. | 5/10An enterprise tier offers SLAs, DPAs, priority support and volume discounts, but no published compliance certifications were found. |
| Developers | 8/10ML engineers get self-serve GPU VMs, a CLI, Terraform and APIs. | 9/10Replicate is API-first, with Python and JavaScript clients, Cog packaging, webhooks and streaming, so developers can add AI models with little infrastructure work. |
| Startups | 8/10AI startups get pay-as-you-go GPUs, cheap preemptible capacity and credit programs. | 8/10There is no minimum spend, billing is per second, and public models are free while idle, which suits prototyping and early products. |
| Content Creators | Not rated | 4/10The web UI lets non-coders run image and video models, but the product is built mainly around an API and usage billing. |
| Product Teams | Not rated | 7/10Product teams can try thousands of image, video and language models in the web UI before committing engineering time. |
| SaaS Companies | Not rated | 6/10Deployments with autoscaling suit production features, but cold starts and idle billing on private models make latency-sensitive SaaS use costly. |
| Small Business | 3/10It runs AI infrastructure that needs DevOps skills and offers no simple web hosting. | Not rated |
Which One Should You Choose?
Why choose Nebius
- Higher Security score (8/10 vs 5/10)
- Higher Cost score (7/10 vs 5/10)
- Better fit for enterprise (7/10 vs 5/10)
Why choose Replicate
- Higher Ease of Use score (8/10 vs 6/10)
- Higher Integration score (7/10 vs 6/10)
Pros & Cons
Nebius
Pros
- Newest NVIDIA hardware, including B300 and GB300 NVL72, is listed with published per-hour prices.
- Network egress, ingress and public IPs are free, which removes a common hidden cost on hyperscalers.
- The certification list is broad: SOC 2 Type II, SOC 3, several ISO standards including 27001 and 42001, and CSA STAR.
- EU data centers in Finland and Paris help with GDPR and data residency.
- Infrastructure as code is fully supported through a CLI, a Terraform provider, gRPC and REST APIs, and SDKs.
Cons
- The catalogue is narrow outside AI. The only managed database is PostgreSQL, and there is no CDN or web hosting.
- Some users report slower support responses than AWS or CoreWeave.
- Users note documentation gaps for advanced setups.
- Kubernetes and Slurm workflows assume DevOps expertise.
- Commitment pricing and the largest clusters require contacting sales.
Replicate
Pros
- Thousands of ready-to-run community and official models can be called through one API, and Cloudflare cites more than 50,000 production-ready models.
- Public models charge only for active processing time, so prototypes cost nothing while idle.
- The open-source Cog tool packages custom models for upload, and the docs cover webhooks, streaming output and fine-tuning.
- Deployments give private endpoints that autoscale from zero, with minimum and maximum instance caps to keep warm capacity or limit spend.
- Per-second hardware pricing is published openly for every GPU type, from T4 to 8x H100.
Cons
- Cold starts on shared public and community models are the most cited complaint, with reviews reporting delays of tens of seconds or more for custom models.
- Private models and deployments bill for setup and idle time, so latency-sensitive production use costs much more than the list per-second rates suggest.
- Dedicated GPU rates, such as 5.49 USD per hour for an H100, are higher than many raw GPU clouds, according to competitor comparisons.
- No SOC 2 report or public trust center was found, and enterprise SLA terms are not published.
- Bills are hard to forecast because costs vary by model, hardware and billing method, and some canceled runs are still charged.
Not sold on either?
Frequently Asked Questions
Nebius scores higher on our AI Software criteria: 6.6/10 against 6.2/10 for Replicate. The largest gap is in Security: 8/10 for Nebius and 5/10 for Replicate.
No, neither Nebius nor Replicate lists a free plan.
Nebius is the better fit for enterprise: we rate it 7/10 for them, against 5/10 for Replicate.
