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Cloud · head to head

Railway vs Together AI

Railway logo

Railway

Cloud

Ship software instantly

From
Free
Rated
-
Together AI logo

Together AI

AI

Open-source AI at scale

From
Free
Rated
-

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.

Attributes where Railway and Together AI differ
AttributeRailwayTogether AI
PlatformsWeb, Api, DockerApi, Cloud
CategoryCloudAI
Founded20212022

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.

Source
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.

Source
Railway: 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.

Source
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.

Source
Railway: 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.

Source
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.

Source
Railway: 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.

Source
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.

Source
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