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Cloud · head to head

Infracost vs Together AI

Infracost logo

Infracost

Cloud

Cloud cost estimates in pull requests, with governance in the paid tier

From
Free
Rated
-
Full reviewWebsite
Together AI logo

Together AI

AI

Open-source AI at scale

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Infracost usage-based resources such as object storage, serverless functions and data transfer have no cost without monthly usage figures supplied by hand, and the documentation warns plainly that engineers otherwise read them as free.; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: Infracost covers Pull request cost diffs, 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 Infracost and Together AI actually diverge.

Attributes where Infracost and Together AI differ
AttributeInfracostTogether AI
Pricing modelFree open source tool, then per month by run volumeusage-based
PlatformsWeb, macOS, Linux, Windows, DockerApi, Cloud
CategoryCloudAI
FoundedUnknown2022

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 Infracost

  • Pull request cost diffs
  • Multi-format parsing
  • Apache-2.0 CLI
  • FinOps policies
  • Automated remediation
  • IDE integration

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.

Infracost

  • Teams that want an expensive infrastructure change questioned at review rather than discovered on an invoicenot Together AI
  • Platform groups enforcing tagging so cloud spend can be attributed to a team at allnot Together AI
  • Organisations adopting FinOps practice without buying a full cloud management platformnot Together AI
  • Engineers who want a cost figure in the editor while writing the Terraformnot Together AI

Together AI

  • LLM inference for production AI applicationsnot Infracost
  • Content generation at scalenot Infracost
  • Code execution and embeddingsnot Infracost
  • Model fine-tuning and trainingnot Infracost
  • Startup and enterprise AI deploymentnot Infracost

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Infracost

  • Usage-based resources such as object storage, serverless functions and data transfer have no cost without monthly usage figures supplied by hand, and the documentation warns plainly that engineers otherwise read them as free.
  • Splitting production from non-production usage assumptions is not supported in the free usage file, which the docs attribute to a missing project filter, so that separation requires the paid product.
  • The step from 250 to 1,000 dollars a month is large and the Cloud tier includes only ten admin seats, with developer seats charged at a figure that is not published, so the cost for a large organisation cannot be computed from the pricing page.
  • Estimates are list price. Negotiated agreements, committed use discounts and reserved instance economics require SKU-level overrides available only on Enterprise, so the number in the pull request is not the number on the bill.
  • The share of the product covered by the Apache-2.0 licence is shrinking. Checks, automated fixes, policies and agent integrations are all hosted-only, so the permissive licence increasingly protects the estimation engine rather than the product.

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

Infracost

Free
  • FreeFree
    • 1,000 runs a month
    • Terraform, CloudFormation and CDK estimates
    • Community support
  • Starter$250/month
    • 10,000 runs a month
    • Email support
  • Cloud$1000/month
    • Ten admin seats, developer seats charged separately
    • FinOps policies and cost guardrails
    • Dashboards and audit trails
  • Enterprise$undefined/year
    • SKU-level price overrides for negotiated rates
    • Business unit reporting
    • SSO with SAML group mapping

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 Infracost if

  • You need pull request cost diffs.
  • You want to start without paying.
  • You work on Web, macOS, Linux, Windows, Docker.
  • You also want multi-format parsing.
Infracost review

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.
Together AI review

Questions people ask

Is Infracost or Together AI better?
Neither clearly leads. Infracost 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, Infracost or Together AI?
Infracost starts at Free and Together AI at Free.
Does Infracost or Together AI run on more platforms?
Infracost runs on Web, macOS, Linux, Windows, Docker. Together AI runs on Api, Cloud.
Can I use Infracost for free?
Both have a free tier, so you can try either at no cost before committing.
What is Infracost best used for?
Infracost is most often used for teams that want an expensive infrastructure change questioned at review rather than discovered on an invoice, platform groups enforcing tagging so cloud spend can be attributed to a team at all, organisations adopting finops practice without buying a full cloud management platform, engineers who want a cost figure in the editor while writing the terraform. Of those, teams that want an expensive infrastructure change questioned at review rather than discovered on an invoice and platform groups enforcing tagging so cloud spend can be attributed to a team at all are not what Together AI is typically brought in for.
What can Infracost do that Together AI cannot?
Infracost covers Pull request cost diffs, Multi-format parsing, Apache-2.0 CLI, FinOps policies. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

Infracost: Is the open source version genuinely useful on its own?

Yes, for estimation. It parses your definitions and produces breakdowns and diffs locally. What it does not do is comment on pull requests, enforce policy or report across an organisation, all of which are hosted-only.

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
Infracost: Will the estimate match my cloud bill?

No. It is list price. Committed use discounts, enterprise agreements and reserved instances need SKU-level overrides that sit in the Enterprise tier.

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
Infracost: Why do my S3 and Lambda resources show no cost?

Usage-based resources need monthly usage values supplied in a usage file or defined centrally. Without them they estimate at zero, which is the documented behaviour and the most common way the tool misleads.

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
Infracost: Has the licence ever changed?

No. The command line tool has been Apache 2.0 throughout, with no Business Source or AGPL episode, which is unusual in this category.

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
Infracost: What is a run?

Not defined on the public pricing page, and the run allowance is what separates the free and Starter tiers, so establish the definition before choosing between them.

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