Together AI 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
Together AI
https://www.together.ai
Together AI is a cloud platform that enables developers and enterprises to run, fine-tune, and deploy open-source large language models (LLMs) at scale with high performance and cost efficiency. The platform provides access to a wide range of open-source models including LLaMA, Mistral, and others through a unified API, along with tools for custom model fine-tuning and inference optimization. Together AI also conducts AI research and has developed its own inference infrastructure designed to deliver fast and affordable generative AI capabilities.
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 | Together AI | Vast.ai |
|---|---|---|
| Category | AI Cloud Infrastructure | AI Cloud Infrastructure |
| Starting Price | Free | Contact Sales |
| Plans Available | 6 | 3 |
| Features Tracked | 15 | 16 |
| Founded | 2022 | 2017 |
| Headquarters | San Francisco, USA | San Francisco, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| CLI & SDK | ||
| OpenAI-Compatible APIs | ||
| REST API | ||
| core | ||
| Autoscaling GPU Clusters | ||
| Clusters for Training | ||
| Dedicated Model Inference | ||
| Diverse GPU Support | ||
| Fine-Tuning Workflows | ||
| Full-Stack Observability | ||
| GPU Marketplace | ||
| High-Performance Inference | ||
| Instance Filtering | ||
| Instant GPU Clusters | ||
| Interruptible Instances | ||
| Kubernetes & Slurm | ||
| NVIDIA GPU Support | ||
| On-Demand Instances | ||
| Pay-As-You-Go Pricing | ||
| Per-Second Billing | ||
| Pre-Built Templates | ||
| Real-Time Pricing | ||
| Reserved Instances | ||
| Self-Healing Clusters | ||
| Serverless Inference | ||
| Zero Egress Fees | ||
| integration | ||
| Open-Source Model Hub | ||
| SDK Support | ||
| security | ||
| Direct Payload Delivery | ||
| SOC2 Certification | ||
| support | ||
| 24/7 Expert Support | ||
Pricing
Compare pricing plans and value for money
Together AI
From $0/mo
Price Components
- GLM-5.1 Input Tokens: $1.4/1M tokens
- GLM-5.1 Output Tokens: $4.4/1M tokens
- Llama 3.3 70B: $0.88/1M tokens
- 1x H100 80GB: $3.99/hour
- 1x H200 141GB: $5.49/hour
Best For
Developers and enterprises needing fast, cost-efficient deployment and fine-tuning of open-source LLMs with flexible GPU clusters and serverless APIs.
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 Together AI, Vast.ai is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
Together AI
Developers and enterprises needing fast, cost-efficient deployment and fine-tuning of open-source LLMs with flexible GPU clusters and serverless APIs.
- Serverless inference with OpenAI-compatible APIs and up to 4x faster performance via custom optimizations differentiates from generic cloud providers.
- Instant self-service GPU clusters up to 64 NVIDIA H100/H200 GPUs deploy in minutes with zero egress fees and autoscaling.
- Fine-tuning for 200+ open-source models like LLaMA and Mistral using proprietary data, with dedicated $2,872/month inference options.
- Full-stack observability via Grafana dashboards and pay-as-you-go token-based pricing for cost-efficient scaling.
- Young company founded in 2022 with 51-200 employees may lack the enterprise maturity and global scale of hyperscalers like AWS.
- Focus on open-source models limits access to proprietary LLMs from providers like OpenAI or Anthropic.
- High entry for dedicated options at $2,872/month suits enterprises but may deter small teams preferring fully serverless.
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
Together AI
Vast.ai
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