Baseten vs CoreWeave 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.
CoreWeave
https://www.coreweave.com
CoreWeave is a specialized cloud provider focused on GPU-accelerated computing, offering large-scale infrastructure optimized for AI/ML workloads, visual effects rendering, and high-performance computing. The company operates one of the largest fleets of NVIDIA GPUs in the cloud, providing on-demand access to compute resources through Kubernetes-based orchestration. CoreWeave went public on the Nasdaq in March 2025 and serves major AI companies, enterprises, and research institutions requiring massive parallel compute capacity.
Quick Comparison
| Detail | Baseten | CoreWeave |
|---|---|---|
| Category | AI Cloud Infrastructure | AI Cloud Infrastructure |
| Starting Price | Free | $4/mo |
| Plans Available | 3 | 9 |
| Features Tracked | 14 | 14 |
| Founded | 2020 | 2017 |
| Headquarters | San Francisco, USA | Roseland, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| REST API Endpoints | ||
| compliance | ||
| SOC 2 Type II | ||
| core | ||
| AI Object Storage | ||
| Autoscaling | ||
| Bare Metal Performance | ||
| Fast Boot Times | ||
| File Storage | ||
| GPU/CPU Infrastructure | ||
| Global Scaling | ||
| HPC-First Architecture | ||
| High Durability Storage | ||
| Inference Optimization | ||
| InfiniBand Networking | ||
| Kubernetes Orchestration | ||
| Mega GPU Clusters | ||
| Model Deployment | ||
| Monitoring & Logging | ||
| Multi-Model Workflows | ||
| NVIDIA GPU Access | ||
| No Egress Fees | ||
| SLURM on Kubernetes (SUNK) | ||
| Truss Deployment | ||
| custom | ||
| Custom Environments | ||
| Custom Instance Types | ||
| Hybrid Deployments | ||
| integration | ||
| SDK Integration | ||
| security | ||
| API Key Access Control | ||
| Enterprise Security | ||
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.
CoreWeave
From $4/mo
Price Components
- On-Demand Compute: $42/hour
- On-Demand Compute: $68.8/hour
- On-Demand Compute: $49.24/hour
- On-Demand Compute: $6.42/hour
- Spot Compute: $2.99/hour
Best For
AI research labs and enterprises training large language models or running distributed inference at scale who prioritize raw compute performance and cost efficiency over geographic flexibility.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for Baseten, CoreWeave 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.
CoreWeave
AI research labs and enterprises training large language models or running distributed inference at scale who prioritize raw compute performance and cost efficiency over geographic flexibility.
- Bare-metal GPU infrastructure eliminates virtualization overhead, delivering 2-3x faster training speeds than legacy cloud providers with identical hardware
- Massive scale support up to 100k+ GPU clusters with InfiniBand networking enables near-linear scaling for distributed AI training at supercomputing scale
- Transparent pricing with zero egress fees and sub-1 minute boot times reduces total cost of ownership by 30-40% versus AWS/Azure for data-intensive ML workloads
- Limited geographic footprint compared to AWS/Azure/GCP, restricting deployment options for enterprises requiring multi-region redundancy or specific data residency compliance
- Smaller ecosystem of pre-built integrations and managed services means users need deeper DevOps expertise to orchestrate complex multi-cloud architectures
Company Info
Company details and background
Baseten
CoreWeave
Comparison FAQ
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