Baseten vs Weaviate Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
Basic
- Dedicated deployments
- Model APIs
- Training
- Fast cold starts
- SOC 2 Type II and HIPAA compliant
- Email and in-app chat support
Pro
- Priority access to high-demand GPUs
- Dedicated compute
- Higher Model API rate limits
- Hands-on engineering expertise
- Dedicated support on Slack and Zoom
Enterprise
- Custom SLAs
- Self-host deployments
- On-demand flex compute
- Use existing cloud commitments
- Full control over data residency
- Advanced security and compliance
- Custom global regions
- Advanced RBAC with Teams
Free
- Always free — 1 cluster per user, upgrade to paid anytime.
- 100,000 objects · 1 GB memory · 10 GB disk.
- 1 collection, up to 3 tenants.
- Embeddings (2,000 req/day) + Query Agent (1,000 req/mo).
- Basic Support
Flex
Popular- Pay-as-you-go, monthly, no commitment.
- Shared cloud cluster with full core DB toolkit + replication.
- Baseline security with RBAC.
- Highly available clusters — 99.5% uptime.
- Query Agent free tier + usage-based; Embeddings usage-based.
- Standard support — next-business-day Sev 1
Premium
- Prepaid contract with predictable spend.
- Choice of shared or dedicated deployment.
- Trusted reliability — up to 99.95% uptime.
- Global coverage on AWS, GCP & Azure.
- Query Agent free tier + usage-based; Embeddings usage-based.
- Enterprise support — as fast as 1-hour Sev 1 + dedicated Technical Account Team
Baseten vs Weaviate FAQ
- Which one is cheaper?
- One or both use custom pricing, so it depends on your specific needs.
- Can I use either one for free?
- Both offer free plans, so you can try each without paying. Start with whichever fits your workflow better and upgrade when you hit the limits.
- How do they charge?
- Both use a usage-based model, so the comparison is straightforward — it comes down to features and limits at each price point.
- Which one is a better deal?
- Depends on what you need. Baseten: They're competing in the ML inference infrastructure space against Replicate, Modal, and cloud-native options like AWS SageMaker — positioned as a developer-friendly middle ground that's more flexible than managed APIs but less DIY than raw cloud. The GPU pricing is granular enough to appeal to cost-conscious ML teams who want to optimize spend. Weaviate: Sitting in the mid-to-premium range for vector databases, they're not trying to be the cheapest option — Pinecone and Qdrant Cloud are in the same conversation. The usage-based model lets them look affordable at entry while capturing serious revenue from high-volume AI workloads where dimension counts explode.
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