Fly.io vs Together AI Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 1, 2026
Overview
Compare key metrics and features at a glance
Fly.io
https://fly.io
Fly.io is a platform that allows developers to deploy applications closer to their users by running them in micro-VMs on a global network of servers. It transforms Docker containers into micro-VMs that can run anywhere in the world, providing better performance through edge computing and simplified deployment processes. The platform specializes in running full-stack applications globally with minimal latency.
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.
Quick Comparison
| Detail | Fly.io | Together AI |
|---|---|---|
| Category | Platform as a Service (PaaS) | AI Cloud Infrastructure |
| Starting Price | Free | Free |
| Plans Available | 5 | 6 |
| Features Tracked | 16 | 15 |
| Founded | 2017 | 2022 |
| Headquarters | San Francisco, USA | San Francisco, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| Fly Machines API | ||
| OpenAI-Compatible APIs | ||
| core | ||
| Auto-Scaling | ||
| Autoscaling GPU Clusters | ||
| Dedicated Model Inference | ||
| Docker Container Deployment | ||
| Fine-Tuning Workflows | ||
| Firecracker MicroVMs | ||
| Fly Launch | ||
| Full-Stack Observability | ||
| Global Anycast Networking | ||
| High-Performance Inference | ||
| Instant GPU Clusters | ||
| Kubernetes & Slurm | ||
| Managed Postgres | ||
| Managed Redis | ||
| Multi-Region Deployment | ||
| Multiple Language Support | ||
| NVIDIA GPU Support | ||
| Pay-As-You-Go Pricing | ||
| Persistent Volumes | ||
| Private Network | ||
| Self-Healing Clusters | ||
| Serverless Inference | ||
| Zero Egress Fees | ||
| integration | ||
| CI/CD Integration | ||
| Open-Source Model Hub | ||
| SDK Support | ||
| security | ||
| Secrets Management | ||
| support | ||
| Prometheus Metrics | ||
| flyctl CLI | ||
Pricing
Compare pricing plans and value for money
Fly.io
From $0/mo
Price Components
- Compute (shared-cpu-1x 256MB): $0.0028/hour
- Persistent Volumes: $0.15/GB
- Volume Snapshots: $0.08/GB (10 included)
- Data Egress (NA/Europe): $0.02/GB
- Dedicated IPv4: $2/address
Best For
Developers and startups building latency-sensitive, full-stack or stateful apps like global APIs and databases that need edge deployment without vendor lock-in.
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.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for Fly.io, Together AI is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
Fly.io
Developers and startups building latency-sensitive, full-stack or stateful apps like global APIs and databases that need edge deployment without vendor lock-in.
- Deploys Docker containers as micro-VMs across global edge locations with Anycast networking for sub-100ms latency, outperforming centralized PaaS like Heroku.
- Supports stateful apps via Fly Volumes for persistent NVMe storage and managed Postgres with automated scaling, unlike ephemeral serverless competitors.
- Generous free Hobby tier covers compute, storage, and Anycast IPs with pure pay-as-you-go pricing, avoiding minimum fees of Render or DigitalOcean.
- 7th most popular deployment platform with 2.5% market share and 3M+ apps launched, backed by Series C funding and $11.2M 2024 revenue.
- Managed Postgres requires more hands-on management than fully managed DBaaS from AWS or DigitalOcean, lacking complete 'hands-off' automation.
- Enterprise support starts at $2500/month, pricier than Render's $29/user organization plans for similar scale.
- Smaller team of 51-200 employees may limit rapid feature development versus hyperscalers like AWS.
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.
Company Info
Company details and background
Fly.io
Together AI
Comparison FAQ
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