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AI · head to head

Atlas Cloud vs Infracost

Atlas Cloud logo

Atlas Cloud

AI

One API for 500+ image, video, LLM and audio models

From
On request
Free plan
No
Infracost logo

Infracost

Cloud

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

From
Free
Free plan
Yes

The short version

  • Only Infracost has a free tier, so it costs nothing to try first.
  • Each has a real cost: Atlas Cloud not every model accepts every request format. Each model publishes its own supported_apis list, and Gemini models expose their full multimodal capability only on the native Gemini format, so 'change the base URL' does not hold for every model.; 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.
  • They diverge on capability: Atlas Cloud covers 500+ models, one API key, Infracost covers Pull request cost diffs.
  • Prices and features above were last checked on 12 November 2026.

Where they differ

Only the attributes on which Atlas Cloud and Infracost actually diverge.

Attributes where Atlas Cloud and Infracost differ
AttributeAtlas CloudInfracost
Starting priceOn requestFree
Pricing modelusage-basedFree open source tool, then per month by run volume
Free tierNoYes
Platformsweb, apiWeb, macOS, Linux, Windows, Docker
CategoryAICloud

Identical on both: 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 Atlas Cloud

  • 500+ models, one API key
  • OpenAI-compatible LLM endpoint
  • Pay-as-you-go pricing
  • ComfyUI nodes
  • MCP server and CLI
  • Playground and Generator
  • Streaming, batch and webhooks
  • Coding Plan

Only in Infracost

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

What people use each for

The jobs each tool is most often brought in to do.

Atlas Cloud

  • Adding AI image or video generation to an app without an account at each model providernot Infracost
  • Switching an existing OpenAI, Anthropic or Gemini SDK integration to other models by changing the base URLnot Infracost
  • Running hosted image and video models inside ComfyUI workflows without a local GPUnot Infracost
  • Comparing image and video models side by side in a playground before committing to onenot Infracost
  • Giving coding agents access to open-weight LLMs on a flat-rate plannot Infracost

Infracost

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

Where each one falls short

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

Atlas Cloud

  • Not every model accepts every request format. Each model publishes its own supported_apis list, and Gemini models expose their full multimodal capability only on the native Gemini format, so 'change the base URL' does not hold for every model.
  • No Anthropic models were listed when checked in November 2026: the provider directory showed Anthropic with 0 models, so the Anthropic Messages format is a compatibility layer for other models rather than access to Claude.
  • The model count is stated inconsistently across the site: the homepage title says 400+, the vendor says 500+ and the pricing page listed 550, which makes it hard to know what is available without checking the live list.
  • Billing is prepaid. When the balance runs out new API requests are rejected with 402 Payment Required unless auto top-up is enabled, which matters for production workloads.
  • Most models are third-party models resold through the platform, so pricing and availability follow upstream providers and change often; prices on the pricing page are shown against a separate official price and discounts vary by model.

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.

Pricing, plan by plan

Atlas Cloud

On request
  • Pay-as-you-go$undefined/usage
    • Billed per image, per second of video or per token; no subscription
    • GPT Image 2 text-to-image: $0.004 per image
    • Seedream 5.5 generation or edit: $0.02 per image
  • Coding Plan$undefined/month
    • Monthly subscription with a monthly total and a weekly limit
    • Or 90-day pay-as-you-go credit packs with no weekly cap
    • Open-weight LLMs including GLM, MiniMax, Kimi and DeepSeek
  • Enterprise$undefined/custom
    • Volume API discounts
    • SLA options through sales
    • Dedicated infrastructure and private hosting on request

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

Which should you pick?

Choose Atlas Cloud if

  • You need 500+ models, one api key.
  • You work on web, api.
  • You also want openai-compatible llm endpoint.

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.

Questions people ask

Is Atlas Cloud or Infracost better?
Neither clearly leads. Atlas Cloud starts at On request and Infracost at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Atlas Cloud or Infracost?
Infracost has a free tier; the other does not. Paid plans start at On request for Atlas Cloud and Free for Infracost.
Does Atlas Cloud or Infracost run on more platforms?
Atlas Cloud runs on web, api. Infracost runs on Web, macOS, Linux, Windows, Docker.
Can I use Infracost for free?
Yes. Infracost has a free tier, so you can try it without paying. Atlas Cloud starts at On request.
What is Atlas Cloud best used for?
Atlas Cloud is most often used for adding ai image or video generation to an app without an account at each model provider, switching an existing openai, anthropic or gemini sdk integration to other models by changing the base url, running hosted image and video models inside comfyui workflows without a local gpu, comparing image and video models side by side in a playground before committing to one. Of those, adding ai image or video generation to an app without an account at each model provider and switching an existing openai, anthropic or gemini sdk integration to other models by changing the base url are not what Infracost is typically brought in for.
What can Atlas Cloud do that Infracost cannot?
Atlas Cloud covers 500+ models, one API key, OpenAI-compatible LLM endpoint, Pay-as-you-go pricing, ComfyUI nodes. Infracost covers Pull request cost diffs, Multi-format parsing, Apache-2.0 CLI, FinOps policies.

Answered from the vendors’ own pages

Atlas Cloud: How is Atlas Cloud priced?

Pay as you go, per image, per second of video or per token, drawn from a prepaid balance with no subscription required. Examples in November 2026 were $0.004 per image for GPT Image 2 text-to-image, $0.02 per image for Seedream 5.5 and from $0.11 per second for Kling 4.0. Enterprise volume discounts are available through sales.

Source
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.

Atlas Cloud: Is the Atlas Cloud API OpenAI-compatible?

Yes. The base URL https://api.atlascloud.ai accepts OpenAI Chat Completions, Completions, Responses and Images requests, Anthropic Messages and Google Gemini requests with the same API key. Not every model supports every format; each model publishes a supported_apis list.

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.

Atlas Cloud: Can I use Atlas Cloud in ComfyUI?

Yes. The Atlas Cloud ComfyUI nodes, installed from the AtlasCloudAI/atlascloud_comfyui GitHub repository, call hosted models from a ComfyUI graph. Generation runs on Atlas Cloud, so large video and image models work without a local GPU.

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.

Atlas Cloud: What happens when my balance runs out?

New API requests are rejected with 402 Payment Required and you receive low-balance notifications. Service resumes as soon as you top up, and auto top-up can be enabled to avoid interruptions.

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.

Atlas Cloud: What is the Atlas Cloud Coding Plan?

A set of flat-rate subscriptions and 90-day credit packs for open-weight LLMs such as GLM, MiniMax, Kimi and DeepSeek, designed for coding agents including Claude Code, Codex and Cursor. Monthly subscriptions carry a weekly limit that resets every Monday.

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.

Atlas Cloud: Where is Atlas Cloud based?

Its headquarters are at 1540 Broadway, New York, with offices in Silicon Valley and Calgary.

Source
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