Cloud · head to head
Coolify vs Together AI

Coolify
Cloud
Open source self-hosted platform that deploys applications and databases to servers you already own
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Coolify commit history since June 2026 shows one maintainer at 73 commits and a second at 15 with nobody else above one, and the same two people also ship four other coolLabs products, so the project depends on a very small number of individuals.; Together AI free tier limits not clearly specified in pricing documentation
- They diverge on capability: Coolify covers Git push deployments, Together AI covers Open-source models.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Coolify and Together AI actually diverge.
| Attribute | Coolify | Together AI |
|---|---|---|
| Pricing model | Open source, no licence fee | usage-based |
| Platforms | Web, Linux, Docker, Self-hosted | Api, Cloud |
| Category | Cloud | AI |
| Founded | Unknown | 2022 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Coolify
- Git push deployments
- One-click services
- Automatic certificates
- Managed databases
- Docker Compose support
- Notifications
Only in Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- REST API
- Python SDK
- OpenAI compatible
- Api support
What people use each for
The jobs each tool is most often brought in to do.
Coolify
- Replacing a managed platform bill with a single Hetzner or DigitalOcean instance running a dozen small applicationsnot Together AI
- An agency hosting many low-traffic client sites on shared servers with certificates handled automaticallynot Together AI
- Self-hosting analytics, databases and internal tools from the one-click catalogue without writing Compose filesnot Together AI
- Deploying inside a country or jurisdiction where no managed platform operates a regionnot Together AI
Together AI
- LLM inference for production AI applicationsnot Coolify
- Content generation at scalenot Coolify
- Code execution and embeddingsnot Coolify
- Model fine-tuning and trainingnot Coolify
- Startup and enterprise AI deploymentnot Coolify
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Coolify
- Commit history since June 2026 shows one maintainer at 73 commits and a second at 15 with nobody else above one, and the same two people also ship four other coolLabs products, so the project depends on a very small number of individuals.
- Multi-server support is documented as experimental, load balancer configuration is manual, every server must share the same CPU architecture, and moving images between hosts requires you to run your own Docker registry.
- In self-hosted mode the Coolify machine holds every SSH key and secret with no documented high availability, so the dashboard host is a single point of failure that the paid Cloud tier fixes and self-hosting does not.
- Scheduled S3 backups cover PostgreSQL, MySQL, MariaDB and MongoDB only, so application persistent volumes are your responsibility and a restore is untested unless you test it yourself.
- Release cadence is fast enough that six patch versions shipped inside ten days in August 2026 against several hundred open issues, and because instances can update themselves a regression can reach a production host before you have read the changelog.
Together AI
- Free tier limits not clearly specified in pricing documentation
- Pricing varies significantly by model and use case
- Requires account setup for production access
- Batch API discounts apply only to non-urgent workloads
Pricing, plan by plan
Coolify
Free- Self-hostedFree
- Apache-2.0, no features held back
- Unlimited servers, applications and users
- You run, update and back up the dashboard yourself
- Cloud$5/month
- Connects 2 servers, then 3 US dollars a month per extra server
- Managed and updated Coolify dashboard with high availability
- Managed backups of the Coolify instance itself
Together AI
Free- Serverless Inference$0.03/1M input tokens
- Chat and Vision models
- Image generation
- Video generation
- Provisioned Throughput$21600/month
- Up to 83% savings vs commercial alternatives
- Reserved capacity
- Guaranteed throughput
- Dedicated Inference$5.49/hour
- H100 GPU instance
- Single-tenant deployment
- No resource sharing
- GPU Clusters$3.99/GPU-hour
- On-demand capacity
- Volume discounts available
- Reserved options with up to 35% savings
Which should you pick?
Choose Coolify if
- You need git push deployments.
- You want to start without paying.
- You work on Web, Linux, Docker, Self-hosted.
- You also want one-click services.
Choose Together AI if
- You need open-source models.
- You want to start without paying.
- You work on Api, Cloud.
- You also want fine-tuning.
Questions people ask
- Is Coolify or Together AI better?
- Neither clearly leads. Coolify starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Coolify or Together AI?
- Coolify starts at Free and Together AI at Free.
- Does Coolify or Together AI run on more platforms?
- Coolify runs on Web, Linux, Docker, Self-hosted. Together AI runs on Api, Cloud.
- Can I use Coolify for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Coolify best used for?
- Coolify is most often used for replacing a managed platform bill with a single hetzner or digitalocean instance running a dozen small applications, an agency hosting many low-traffic client sites on shared servers with certificates handled automatically, self-hosting analytics, databases and internal tools from the one-click catalogue without writing compose files, deploying inside a country or jurisdiction where no managed platform operates a region. Of those, replacing a managed platform bill with a single hetzner or digitalocean instance running a dozen small applications and an agency hosting many low-traffic client sites on shared servers with certificates handled automatically are not what Together AI is typically brought in for.
- What can Coolify do that Together AI cannot?
- Coolify covers Git push deployments, One-click services, Automatic certificates, Managed databases. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
Coolify: Is anything held back for the paid tier?
No. Coolify Cloud hosts, updates and backs up the dashboard and gives it high availability. Every feature that touches your applications is in the Apache-2.0 build you can run yourself.
Together AI: Does Together AI offer a free tier?
Yes, Together AI advertises 'Start for free, scale on demand,' but specific free tier usage limits are not detailed on the pricing page.
SourceCoolify: What does Coolify Cloud cost?
Five US dollars a month connects two servers, and each additional server is three dollars a month, with 20 per cent off for annual billing. You still supply and pay for the servers themselves.
Together AI: What are Together AI's highest model prices?
Serverless inference pricing ranges from free for base models up to $4.40 per 1M input tokens for premium models. Video generation costs $0.14 to $3.20 per video depending on resolution.
SourceCoolify: Does it back up my application data?
It backs up PostgreSQL, MySQL, MariaDB and MongoDB to S3 on a schedule. Application persistent volumes are not covered, so anything stored outside a managed database needs your own backup plan.
Together AI: How much can I save with Provisioned Throughput?
Together AI offers up to 83% savings compared to commercial alternatives when using their Provisioned Throughput option with reserved capacity.
SourceCoolify: Can I run it across several servers?
Yes, but the documentation calls multi-server experimental. Load balancing is not configured for you, all nodes must share a CPU architecture, and you need to run your own Docker registry.
Together AI: What is Together AI's fine-tuning pricing?
Standard fine-tuning costs $0.48 to $2.90 per 1M tokens depending on model size, with a minimum charge of $4.00 per job.
SourceRelated pages
More on Together AI
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