AI · head to head
Atlas Cloud vs Groq

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

Groq
Machine Learning
Fast inference provider using proprietary LPU hardware for low-latency serving
- From
- On request
- Free plan
- No
The short version
- 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.; Groq pricing is not published and is sold entirely by quote, making cost comparison difficult
- Prices and features above were last checked on 12 November 2026.
Where they differ
Only the attributes on which Atlas Cloud and Groq actually diverge.
| Attribute | Atlas Cloud | Groq |
|---|---|---|
| Pricing model | usage-based | quote |
| Platforms | web, api | API, Cloud |
| Category | AI | Machine Learning |
Identical on both: starting price (On request), free tier (No), 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 Groq
Nothing recorded that Atlas Cloud does not also cover.
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 Groq
- Switching an existing OpenAI, Anthropic or Gemini SDK integration to other models by changing the base URLnot Groq
- Running hosted image and video models inside ComfyUI workflows without a local GPUnot Groq
- Comparing image and video models side by side in a playground before committing to onenot Groq
- Giving coding agents access to open-weight LLMs on a flat-rate plannot Groq
Groq
- Latency-sensitive applications requiring sub-second inference response timesnot Atlas Cloud
- High-volume inference workloads where cost per inference matters at scalenot Atlas Cloud
- Custom model deployment with performance guaranteesnot Atlas Cloud
- Enterprise applications seeking inference-specific infrastructurenot 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.
Groq
- Pricing is not published and is sold entirely by quote, making cost comparison difficult
- Limited to open-weight models; no proprietary model access through the platform
- Not widely integrated into third-party AI platforms compared to OpenAI or Anthropic
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
Groq
On requestNo published plan breakdown. See the Groq review.
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.
Questions people ask
- Is Atlas Cloud or Groq better?
- Neither clearly leads. Atlas Cloud starts at On request and Groq at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Atlas Cloud or Groq?
- Atlas Cloud starts at On request and Groq at On request.
- Does Atlas Cloud or Groq run on more platforms?
- Atlas Cloud runs on web, api. Groq runs on API, Cloud.
- 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 Groq is typically brought in for.
- What can Atlas Cloud do that Groq cannot?
- Atlas Cloud covers 500+ models, one API key, OpenAI-compatible LLM endpoint, Pay-as-you-go pricing, ComfyUI nodes.
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.
SourceGroq: Is Groq free or paid?
Pricing details are not published on the main website. To explore Groq's service and pricing, visit their console at console.groq.com/home.
SourceAtlas 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.
SourceGroq: Does Groq offer a free tier or free credits?
Free tier availability is not documented on the public site. Check the Groq console for current free tier or trial options.
SourceAtlas 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.
SourceAtlas 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
Other head to heads
- Atlas Cloud vs Together AI
- Atlas Cloud vs Replicate
- Atlas Cloud vs Black Forest Labs
- Atlas Cloud vs Ideogram
- Atlas Cloud vs Grok
- Atlas Cloud vs Resemble AI
- Atlas Cloud vs Adobe Firefly
- Atlas Cloud vs Pika
- Atlas Cloud vs D-ID
- Atlas Cloud vs Stable Diffusion
- Atlas Cloud vs AutoGen
- Atlas Cloud vs HeyGen
- Atlas Cloud vs Tabnine
- Atlas Cloud vs Verbit
- Atlas Cloud vs Wordtune
- Atlas Cloud vs Amazon Q Developer
- Atlas Cloud vs Anyword
- Atlas Cloud vs AWS SageMaker
- Atlas Cloud vs Google Vertex AI
- Atlas Cloud vs Azure Machine Learning
- Atlas Cloud vs DataRobot
- Atlas Cloud vs Mistral AI
- Atlas Cloud vs OpenRouter
- Atlas Cloud vs Ollama
- Atlas Cloud vs Seldon
- Atlas Cloud vs Keras
- Atlas Cloud vs Fal AI
- Atlas Cloud vs Snowflake
- Atlas Cloud vs Dataiku
- Atlas Cloud vs JMP
- Atlas Cloud vs Minitab
- Atlas Cloud vs Orange
- Atlas Cloud vs Pachyderm
- Groq vs Together AI
- Groq vs Replicate
- Groq vs Black Forest Labs
- Groq vs Ideogram
- Groq vs Grok
- Groq vs Resemble AI
- Groq vs Adobe Firefly
- Groq vs Pika
- Groq vs D-ID
- Groq vs Stable Diffusion
- Groq vs AutoGen
- Groq vs HeyGen
- Groq vs Tabnine
- Groq vs Verbit
- Groq vs Wordtune
- Groq vs Amazon Q Developer
- Groq vs Anyword
- Groq vs AWS SageMaker
- Groq vs Google Vertex AI
- Groq vs Azure Machine Learning
- Groq vs DataRobot
- Groq vs Mistral AI
- Groq vs OpenRouter
- Groq vs Ollama
- Groq vs Seldon
- Groq vs Keras
- Groq vs Fal AI
- Groq vs Snowflake
- Groq vs Dataiku
- Groq vs JMP
- Groq vs Minitab
- Groq vs Orange
- Groq vs Pachyderm
