Predibase Pricing 2026
Complete pricing guide with plans, hidden costs, and cost analysis
Predibase pricing ranges from $0.50 to $8/per million tokens.
Predibase costs $0.50 to $8 per per million tokens as of April 2026, with 3 plans available. Pricing depends on your chosen tier, contract length, and negotiated discounts.
Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.
- Free tier: No free tier available
Predibase offers 3 pricing tiers: Developer (pay-as-you-go), Dedicated Deployments, Enterprise. The Dedicated Deployments plan is teams with sustained inference load needing guaranteed capacity.
Compared to other fine-tuning apis software, Predibase is positioned at the budget-friendly price point.
- 2 documented hidden costs beyond list price
How much does Predibase cost?
Predibase Pricing Overview
Predibase has 3 pricing plans ranging from $0.50 to $8/per million tokens. The Developer (pay-as-you-go) plan requires contacting sales for a custom quote and is designed for developers fine-tuning open models without dedicated infra. The Dedicated Deployments plan requires contacting sales for a custom quote and is designed for teams with sustained inference load needing guaranteed capacity. The Enterprise plan requires contacting sales for a custom quote and is designed for regulated industries and large orgs with compliance requirements.
There are at least 2 documented hidden costs beyond Predibase's list price, including implementation, training, and add-on fees.
This pricing was last verified in April 23, 2026.
Predibase is an LLM fine-tuning and serving platform built around per-token pricing for LoRA adapter inference, available across three tiers: Developer (pay-as-you-go), Dedicated Deployments, and Enterprise (custom-quoted). The Developer tier allows teams to get started without upfront commitments, while Dedicated Deployments and Enterprise pricing require contacting sales. Public pricing details are limited, so teams with significant workloads should engage sales early to avoid budget surprises.
All Predibase Plans & Pricing
| Plan | Monthly | Annual | Best For |
|---|---|---|---|
| Developer (pay-as-you-go) | Custom | Custom | Developers fine-tuning open models without dedicated infra |
| Dedicated Deployments | Custom | Custom | Teams with sustained inference load needing guaranteed capacity |
| Enterprise | Contact Sales | Contact Sales | Regulated industries and large orgs with compliance requirements |
View all features by plan
Developer (pay-as-you-go)
- Serverless LoRA fine-tuning
- Serverless inference on fine-tuned adapters
- Community support
Dedicated Deployments
- Dedicated GPU endpoints (A10G, A100, H100)
- Private VPC deployment option
- Autoscaling and custom throughput SLAs
Enterprise
- VPC / on-prem deployment
- SSO, audit logs, role-based access
- Dedicated solutions engineer
- Custom training pipelines
Usage-Based Rates
Per-unit pricing for Predibase API usage.
Developer (pay-as-you-go)
| Item | Dimension | Unit | Rate |
|---|---|---|---|
| llama-3-1-8b-ft | training | 1M tokens | $0.500 |
| llama-3-1-70b-ft | training | 1M tokens | $4.00 |
| llama-3-1-8b-ft | inference | 1M tokens | $0.200 |
| llama-3-1-70b-ft | inference | 1M tokens | $0.800 |
- LoRA fine-tuning (SFT) on supported open models
- Serverless inference billed per-token on deployed adapters
- Up to 100 adapters hosted per base model with no extra fee
Dedicated Deployments
| Model | Unit | Rate |
|---|---|---|
| a10g | GPU hour | $0.750 |
| a100-80gb | GPU hour | $3.00 |
| h100-80gb | GPU hour | $8.00 |
- GPU-hour rates vary by instance type
- Committed-use discounts available via annual contracts
What Companies Actually Pay for Predibase
Compare Predibase Pricing
How to Negotiate Predibase Pricing
Predibase contracts are negotiable. These 1 tactics are sourced from real buyer experiences and procurement specialists.
Users on Reddit note that OpenPipe and Together AI offer comparable fine-tuning workflows at similar or lower prices. Request quotes from both before negotiating with Predibase — having a concrete alternative offer improves your position, especially for volume inference workloads.
redditPredibase Pricing FAQ
01 How does Predibase charge for LoRA adapter inference?
Predibase uses per-token pricing for LoRA adapter inference on its Developer (pay-as-you-go) tier. The platform is powered by the open-source LoRAX inference server, which enables serving thousands of LoRA adapters simultaneously on a single GPU. You can upload your own adapters, train them on the Predibase platform, or use any public or private adapter from HuggingFace.
02 Is Predibase only for enterprise customers?
Predibase offers three tiers — Developer (pay-as-you-go), Dedicated Deployments, and Enterprise (custom-quoted) — so it is not exclusively for enterprise. However, some users have noted that pricing details are not transparent and the platform has historically appeared aimed at enterprise buyers, making it harder for smaller teams to evaluate costs without contacting sales.
03 How does Predibase pricing compare to alternatives like Together AI or OpenPipe?
Community feedback suggests Predibase pricing is slightly higher than some competitors such as Together AI and OpenPipe for similar fine-tuning and inference workloads. Exact comparisons depend on use case, model size, and request volume. All three platforms use usage-based pricing models.
04 Is Predibase pricing publicly listed?
No — Predibase does not publish specific per-token or compute rates. Users have reported the pricing feels opaque and enterprise-oriented. The platform offers a Developer pay-as-you-go tier, Dedicated Deployments for production workloads, and Enterprise custom pricing, but you need to sign up or contact sales to get actual rates.
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