Baseten vs Vast.ai Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 1, 2026
Overview
Compare key metrics and features at a glance
Baseten
https://www.baseten.co
Baseten is a machine learning infrastructure platform that enables developers and ML engineers to deploy, serve, and scale AI models in production. It provides tools for building model pipelines, creating model-backed applications, and managing inference workloads with support for popular frameworks like PyTorch, TensorFlow, and Hugging Face. Baseten focuses on simplifying the MLOps workflow by offering features such as autoscaling, GPU support, and a Python-native SDK called Truss for packaging and deploying models.
Vast.ai
https://vast.ai
Vast.ai is a decentralized cloud GPU marketplace that connects individuals and businesses who need GPU compute resources with hosts who have idle GPU hardware available for rent. The platform allows users to rent GPU instances at significantly lower prices than traditional cloud providers by aggregating consumer and data center GPUs from around the world. Vast.ai supports a wide range of use cases including machine learning training, inference, rendering, and other compute-intensive workloads.
Quick Comparison
| Detail | Baseten | Vast.ai |
|---|---|---|
| Category | AI Cloud Infrastructure | AI Cloud Infrastructure |
| Starting Price | Free | Contact Sales |
| Plans Available | 3 | 3 |
| Features Tracked | 14 | 16 |
| Founded | 2020 | 2017 |
| Headquarters | San Francisco, USA | San Francisco, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| CLI & SDK | ||
| REST API | ||
| REST API Endpoints | ||
| compliance | ||
| SOC 2 Type II | ||
| core | ||
| Autoscaling | ||
| Clusters for Training | ||
| Diverse GPU Support | ||
| GPU Marketplace | ||
| GPU/CPU Infrastructure | ||
| Global Scaling | ||
| Inference Optimization | ||
| Instance Filtering | ||
| Interruptible Instances | ||
| Model Deployment | ||
| Monitoring & Logging | ||
| Multi-Model Workflows | ||
| On-Demand Instances | ||
| Per-Second Billing | ||
| Pre-Built Templates | ||
| Real-Time Pricing | ||
| Reserved Instances | ||
| Serverless Inference | ||
| Truss Deployment | ||
| custom | ||
| Custom Environments | ||
| Hybrid Deployments | ||
| integration | ||
| SDK Integration | ||
| security | ||
| API Key Access Control | ||
| Direct Payload Delivery | ||
| SOC2 Certification | ||
| support | ||
| 24/7 Expert Support | ||
Pricing
Compare pricing plans and value for money
Baseten
From $0/mo
Price Components
- Monthly Subscription: $0/month
- DeepSeek V4 Input: $0.00000174/token
- DeepSeek V4 Output: $0.00000348/token
- GPU Compute T4: $0.01052/minute
- GPU Compute A100: $0.06667/minute
Best For
ML engineers and AI teams deploying production-scale open-source or custom models needing fast autoscaling, GPU optimization, and compliance without managing infrastructure.
Vast.ai
Contact Sales
Price Components
- GPU Usage: $0/second
- GPU Usage: $0/second
- Reserved Capacity: $0/term
Best For
Cost-sensitive ML practitioners and researchers running batch training, inference, or rendering on flexible, preemptible GPU workloads.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for Baseten, Vast.ai is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
Baseten
ML engineers and AI teams deploying production-scale open-source or custom models needing fast autoscaling, GPU optimization, and compliance without managing infrastructure.
- Truss SDK enables Python-native packaging and deployment of models from PyTorch, TensorFlow, and Hugging Face, simplifying MLOps beyond general cloud ML services.
- Autoscaling to zero with global multi-cloud GPU capacity supports massive inference scale and cost efficiency unmatched by broader hyperscalers.
- OpenAI-compatible APIs and Baseten Chains optimize latency/throughput 2x+ faster than competitors like Fireworks or Modal.
- SOC 2 Type II, HIPAA/GDPR compliance with no input/output storage and hybrid self-host options for secure enterprise AI.
- Smaller scale (51-200 employees, Series B) limits global infra compared to hyperscalers like AWS SageMaker or GCP Vertex AI.
- Pro and Enterprise tiers require volume commitments for discounts and custom SLAs, less ideal for tiny teams on strict budgets.
Vast.ai
Cost-sensitive ML practitioners and researchers running batch training, inference, or rendering on flexible, preemptible GPU workloads.
- Decentralized marketplace aggregates 20,000+ GPUs worldwide, offering 3-6x savings via dynamic real-time pricing over hyperscalers.
- Per-second billing with on-demand, interruptible (50%+ cheaper), and reserved options for flexible cost control.
- Supports diverse high-end GPUs like RTX 4090, A100, H200 with pre-built AI templates and multi-GPU configs.
- Instant deployment via web, CLI, SDK, API, and native Docker for rapid ML training and inference.
- Interruptible instances risk preemption, unsuitable for production needing guaranteed uptime.
- Decentralized peer-to-peer model may yield inconsistent reliability versus managed hyperscaler infrastructure.
- Small team (11-50 employees) limits enterprise-grade support and scale compared to giants like AWS.
Company Info
Company details and background
Baseten
Vast.ai
Comparison FAQ
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