Amazon Web Services (AWS)
Together AI
| Feature | Together AI | |
|---|---|---|
| Pricing | Free / from $0/mo | Free only |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.4 / 5 |
| Best For | enterprises, startups, large-scale-applications, machine-learning-teams | ai-developers, startups, cost-conscious-teams, open-source-advocates |
| Founded | 2006 | 2022 |
| Compute Ec2 | ✓ | ✗ |
| Storage S3 | ✓ | ✗ |
| Serverless Lambda | ✓ | ✗ |
| Databases Rds | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Containers Ecs | ✓ | ✗ |
| Cdn Cloudfront | ✓ | ✗ |
| Inference Api | ✗ | ✓ |
| Fine Tuning | ✗ | ✓ |
| Custom Models | ✗ | ✓ |
| Openai Compatibility | ✗ | ✓ |
| Batch Processing | ✗ | ✓ |
| Embeddings | ✗ | ✓ |
✓ Amazon Web Services (AWS) Pros
- Most extensive service catalog of any cloud provider
- Global infrastructure with 30+ regions worldwide
- 12-month free tier covering many services
- Mature enterprise tooling and compliance certifications
✗ Amazon Web Services (AWS) Cons
- Complex pricing that is hard to predict
- Steep learning curve with overwhelming service count
- Console UI feels dated compared to competitors
✓ Together AI Pros
- Fast inference speeds
- OpenAI-compatible API
- Cheaper than OpenAI for many models
- Custom model fine-tuning
✗ Together AI Cons
- Only open-source models
- Limited compared to full cloud providers
- Newer platform
The Verdict
Amazon Web Services (AWS) is built for enterprises and startups, with a focus on compute-ec2 and storage-s3. Together AI targets ai developers and startups and leads with inference-api and fine-tuning.
Together AI uses custom enterprise pricing, while Amazon Web Services (AWS) starts at $0/mo — a tangible advantage for teams with a fixed budget.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Amazon Web Services (AWS) offers broader built-in capabilities (7 features vs 6), while Together AI takes a more focused approach — which can mean a simpler, faster onboarding experience.
Both tools are a solid fit for startups — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.