AI · head to head
Atlas Cloud vs ClearML

Atlas Cloud
AI
One API for 500+ image, video, LLM and audio models
- From
- On request
- Free plan
- No

ClearML
Machine Learning
Open-source MLOps platform for experiment tracking and orchestration
- From
- Free
- Free plan
- Yes
The short version
- Only ClearML 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.; ClearML broad scope means more to learn and more to run than a focused tracking tool
- They diverge on capability: Atlas Cloud covers 500+ models, one API key, ClearML covers Experiment tracking.
- Prices and features above were last checked on 12 November 2026.
Where they differ
Only the attributes on which Atlas Cloud and ClearML actually diverge.
| Attribute | Atlas Cloud | ClearML |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | usage-based | Open-source self-hosted, with paid hosted and enterprise tiers |
| Free tier | No | Yes |
| Platforms | web, api | Linux, macOS, Windows, Docker, Kubernetes |
| Category | AI | Machine Learning |
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 ClearML
- Experiment tracking
- Remote execution
- Data versioning
- Pipelines
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 ClearML
- Switching an existing OpenAI, Anthropic or Gemini SDK integration to other models by changing the base URLnot ClearML
- Running hosted image and video models inside ComfyUI workflows without a local GPUnot ClearML
- Comparing image and video models side by side in a playground before committing to onenot ClearML
- Giving coding agents access to open-weight LLMs on a flat-rate plannot ClearML
ClearML
- Tracking experiments across a team so results are reproduciblenot Atlas Cloud
- Moving training from laptops to shared GPU hardware without repackagingnot Atlas Cloud
- Versioning datasets alongside the experiments that consumed themnot 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.
ClearML
- Broad scope means more to learn and more to run than a focused tracking tool
- Self-hosting the server is real infrastructure — database, file storage and web server
- Documentation quality is uneven across the newer parts of the platform
- Smaller community than the most popular tracking tools, so fewer worked examples exist
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
ClearML
Free- Open sourceFree
- Experiment tracking
- Pipelines
- Self-hosted server
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 ClearML if
- You need experiment tracking.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes.
- You also want remote execution.
Questions people ask
- Is Atlas Cloud or ClearML better?
- Neither clearly leads. Atlas Cloud starts at On request and ClearML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Atlas Cloud or ClearML?
- ClearML has a free tier; the other does not. Paid plans start at On request for Atlas Cloud and Free for ClearML.
- Does Atlas Cloud or ClearML run on more platforms?
- Atlas Cloud runs on web, api. ClearML runs on Linux, macOS, Windows, Docker, Kubernetes.
- Can I use ClearML for free?
- Yes. ClearML 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 ClearML is typically brought in for.
- What can Atlas Cloud do that ClearML cannot?
- Atlas Cloud covers 500+ models, one API key, OpenAI-compatible LLM endpoint, Pay-as-you-go pricing, ComfyUI nodes. ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines.
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.
SourceClearML: Is ClearML free?
The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.
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.
SourceClearML: How much code does tracking require?
Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.
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.
SourceClearML: Does ClearML replace MLflow?
It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.
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.
SourceAtlas 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.
SourceAtlas Cloud: Where is Atlas Cloud based?
Its headquarters are at 1540 Broadway, New York, with offices in Silicon Valley and Calgary.
SourceRelated pages
More on Atlas Cloud
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