Software · head to head
Groq vs OpenAI API

Groq
Software
Fast inference provider using proprietary LPU hardware for low-latency serving
- From
- On request
- Rated
- -

OpenAI API
Software
GPT and DALL-E APIs for developers
- From
- $0.15/per-million-tokens
- Rated
- -
The short version
- Each has a real cost: Groq pricing is not published and is sold entirely by quote, making cost comparison difficult; OpenAI API new accounts start with a $100 approved monthly usage limit and must spend cumulatively to graduate tiers
Where they differ
Only the attributes on which Groq and OpenAI API actually diverge.
| Attribute | Groq | OpenAI API |
|---|---|---|
| Starting price | On request | $0.15/per-million-tokens |
| Pricing model | quote | usage-based |
| Platforms | API, Cloud | Api |
| Founded | Unknown | 2015 |
Identical on both: free tier (No), user rating (Not yet rated), category (Unknown).
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 Groq
Nothing recorded that OpenAI API does not also cover.
Only in OpenAI API
- GPT models
- DALL-E
- Whisper
- Embeddings
- REST API
- SDKs
- Azure OpenAI
- Api support
What people use each for
The jobs each tool is most often brought in to do.
Groq
- Latency-sensitive applications requiring sub-second inference response timesnot OpenAI API
- High-volume inference workloads where cost per inference matters at scalenot OpenAI API
- Custom model deployment with performance guaranteesnot OpenAI API
- Enterprise applications seeking inference-specific infrastructurenot OpenAI API
OpenAI API
- Calling hosted language models from an applicationnot Groq
- Generating images, audio and embeddings through one APInot Groq
- Building agents and tool calling workflows on managed modelsnot Groq
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
OpenAI API
- New accounts start with a $100 approved monthly usage limit and must spend cumulatively to graduate tiers
- Reaching the top Tier 5 monthly cap of $200,000 requires $1,000 of cumulative paid usage
- Rate limits apply simultaneously across requests per minute, requests per day, tokens per minute, tokens per day and images per minute, and the first one hit blocks the request
- API access is restricted to approved geographies
Pricing, plan by plan
Groq
On requestNo published plan breakdown. See the Groq review.
OpenAI API
$0.15/per-million-tokens- GPT-4o mini$0.15/per-million-input-tokens
- Fast
- Affordable
- GPT-4o$5/per-million-input-tokens
- Multimodal
- 128K context
Which should you pick?
Questions people ask
- Is Groq or OpenAI API better?
- Neither clearly leads. Groq starts at On request and OpenAI API at $0.15/per-million-tokens, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Groq or OpenAI API?
- Groq starts at On request and OpenAI API at $0.15/per-million-tokens.
- Does Groq or OpenAI API run on more platforms?
- Groq runs on API, Cloud. OpenAI API runs on Api.
- What is Groq best used for?
- Groq is most often used for latency-sensitive applications requiring sub-second inference response times, high-volume inference workloads where cost per inference matters at scale, custom model deployment with performance guarantees, enterprise applications seeking inference-specific infrastructure. Of those, latency-sensitive applications requiring sub-second inference response times and high-volume inference workloads where cost per inference matters at scale are not what OpenAI API is typically brought in for.
- What can Groq do that OpenAI API cannot?
- OpenAI API covers GPT models, DALL-E, Whisper, Embeddings.
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