Apigee
Together AI
| Feature | Together AI | |
|---|---|---|
| Pricing | From $0/mo | Free only |
| Free Plan | ✗ No | ✓ Yes |
| Rating | 4.2 / 5 | 4.4 / 5 |
| Best For | enterprises, api-product-teams, google-cloud-users, fintech-companies | ai-developers, startups, cost-conscious-teams, open-source-advocates |
| Founded | 2004 | 2022 |
| Api Gateway | ✓ | ✗ |
| Developer Portal | ✓ | ✗ |
| Analytics | ✓ | ✗ |
| Security Policies | ✓ | ✗ |
| Monetization | ✓ | ✗ |
| Traffic Management | ✓ | ✗ |
| Api Versioning | ✓ | ✗ |
| Inference Api | ✗ | ✓ |
| Fine Tuning | ✗ | ✓ |
| Custom Models | ✗ | ✓ |
| Openai Compatibility | ✗ | ✓ |
| Batch Processing | ✗ | ✓ |
| Embeddings | ✗ | ✓ |
✓ Apigee Pros
- Enterprise-grade API management backed by Google Cloud
- Comprehensive analytics and monitoring
- Built-in API monetization capabilities
- Strong security policies and threat protection
✗ Apigee Cons
- Complex and expensive for small teams
- Steep learning curve for full platform
- Tightly coupled to Google Cloud ecosystem
✓ 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
Apigee is built for enterprises and api product teams, with a focus on api-gateway and developer-portal. Together AI targets ai developers and startups and leads with inference-api and fine-tuning.
Together AI uses custom enterprise pricing, while Apigee starts at $0/mo — a tangible advantage for teams with a fixed budget.
Together AI has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. Apigee requires a paid subscription from day one.
Feature-wise, Apigee 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.
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.