Cloud · head to head
Railway vs Together AI
The short version
- Each has a real cost: Railway plan fees are usage credits rather than allowances, so the $5 Hobby and $20 Pro fees are spent on compute and anything beyond is billed on top; Together AI free tier limits not clearly specified in pricing documentation
- They diverge on capability: Railway covers Git integration, Together AI covers Open-source models.
Where they differ
Only the attributes on which Railway and Together AI actually diverge.
| Attribute | Railway | Together AI |
|---|---|---|
| Platforms | Web, Api, Docker | Api, Cloud |
| Category | Cloud | AI |
| Founded | 2021 | 2022 |
Identical on both: starting price (Free), pricing model (usage-based), 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 Railway
- Git integration
- Zero-config deployment
- PostgreSQL
- MySQL
- Redis
- Environment variables
- Custom domains
- Monitoring
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.
Railway
- Deploying applications and databases without managing serversnot Together AI
- Running preview environments and services straight from a repositorynot Together AI
Together AI
- LLM inference for production AI applicationsnot Railway
- Content generation at scalenot Railway
- Code execution and embeddingsnot Railway
- Model fine-tuning and trainingnot Railway
- Startup and enterprise AI deploymentnot Railway
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Railway
- Plan fees are usage credits rather than allowances, so the $5 Hobby and $20 Pro fees are spent on compute and anything beyond is billed on top
- The free plan carries $1 of monthly credit and caps a service at 1 vCPU and 0.5 GB
- Compute is metered per second for both memory and CPU, so cost tracks uptime rather than traffic and an idle service still bills
- Egress is $0.05 per GB on top of compute
- The Pro fee is per workspace rather than per user or per project
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
Railway
Free- FreeFree
- $5 credit/month
- Community support
- Unlimited projects
- Pro$20/month
- Private repos
- Priority support
- Advanced monitoring
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 Railway if
- You need git integration.
- You want to start without paying.
- You work on Web, Api, Docker.
- You also want zero-config deployment.
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 Railway or Together AI better?
- Neither clearly leads. Railway 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, Railway or Together AI?
- Railway starts at Free and Together AI at Free.
- Does Railway or Together AI run on more platforms?
- Railway runs on Web, Api, Docker. Together AI runs on Api, Cloud.
- Can I use Railway for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Railway best used for?
- Railway is most often used for deploying applications and databases without managing servers, running preview environments and services straight from a repository. Of those, deploying applications and databases without managing servers and running preview environments and services straight from a repository are not what Together AI is typically brought in for.
- What can Railway do that Together AI cannot?
- Railway covers Git integration, Zero-config deployment, PostgreSQL, MySQL. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
Railway: How much does Railway cost?
Railway's Hobby plan is $5 per month and includes $5 of monthly usage credit. Pro is $20 per month per workspace with $20 of credit included. Enterprise is quoted. Usage beyond the included credit is billed per second.
SourceTogether 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.
SourceRailway: Does Railway have a free tier?
Yes, two. A one-time Free Trial gives $5 of credit valid for 30 days, and an ongoing Free plan includes $1 per month with 1 vCPU and 0.5 GB per service, 1 replica and 3 days of log history.
SourceTogether 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.
SourceRailway: What are Railway's resource limits per plan?
The Free plan allows 1 vCPU and 0.5 GB per service with 1 replica. Hobby raises that to 48 vCPU and 48 GB with 6 replicas. Pro allows 1,000 vCPU and 1 TB per service with 42 replicas and 30 days of log history.
SourceTogether 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.
SourceRailway: How does Railway bill usage above the included credit?
Railway charges memory at $0.00000386 per GB per second and CPU at $0.00000772 per vCPU per second, with storage volumes at $0.00000006 per GB per second, plus separate egress and object storage fees.
SourceTogether 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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