Groq vs OpenAI API
Two sides of the LLM API decision: open models, hosted and model provider. When each fits, what it costs, who moves from one to the other, and what makers who chose it say.
OpenAI APIModel providerllms.txtIn Lovable, ReplitWhich fits you
- Token cost dominates your budget, for example high-volume batch or agent workloads
Use it whenResponse speed matters more than having the most capable model, as in voice or autocomplete.
Trade-offOnly the open models it chooses to host, and no frontier closed models.
- You want the strongest general models and the widest ecosystem of examples and integrations
Use it whenYou want one account that covers text, images, speech and embeddings, with the most examples to copy from.
Trade-offFrequent model and API changes to keep up with, and no option to run its hosted models elsewhere.
At a glance
| Used by | 39 makers' products · 62 open-source projects | 734 makers' products · 481 open-source projects |
|---|---|---|
| Cost at default usageinput tokens 50 million tokens, output tokens 10 million tokens | $6.75/mo GPT OSS 20B | $10/mo GPT-6 Luna |
| Moved to it on GitHubpull requests since Oct 2024 | 50 from OpenAI API | 25 from Groq |
| Downloads | 1.8M/wk3.9× vs npm | 34.1M/wk+61% vs npm |
| Pricing | Free tier with rate limits; pay per token. · paid from Pay per token | Pay per token. · paid from Pay per token |
| Free tier | Yes | No |
| Open source | No | No |
| Incidents, 90 daysfrom its status page | no public status feed | 25+ (4 major) |
Cost as you grow
At 1M tokens Groq costs less ($0.14 vs $0.20); and still does at 5B tokens ($675 vs $1,000). They're different kinds of tool — open models, hosted and model provider — so the prices don't buy the same thing.
The numbers, plan by plan
| Input tokens per month | Groq | OpenAI API |
|---|---|---|
| 1 | $0.14 GPT OSS 20B | $0.20 GPT-6 Luna |
| 5 | $0.68 GPT OSS 20B | $1.00 GPT-6 Luna |
| 10 | $1.35 GPT OSS 20B | $2.00 GPT-6 Luna |
| 50 | $6.75 GPT OSS 20B | $10 GPT-6 Luna |
| 100 | $14 GPT OSS 20B | $20 GPT-6 Luna |
| 500 | $68 GPT OSS 20B | $100 GPT-6 Luna |
| 1,000 | $135 GPT OSS 20B | $200 GPT-6 Luna |
| 5,000 | $675 GPT OSS 20B | $1,000 GPT-6 Luna |
From each vendor's pricing page: Groq, OpenAI API.
Who moves from one to the other
Public pull requests on GitHub since Oct 2024 whose title says "Groq to OpenAI API" or the reverse — real code changes, by developers in general rather than makers only.
- Switch eval pipeline LLM provider from OpenAI to Groqgsarthakdev/llm-eval-pipeline · 2026-09-15
- Migrate LLM backend from OpenAI GPT-4 to Groq (openai/gpt-oss-120b)Blandskron/pentest-agent · 2026-09-09
- Switch LLM provider from OpenAI to GroqkarMareal1/WhyUs · 2026-09-04
- feat(clips): switch Whisper and chat from OpenAI to Groqasgard02/vyrll · 2026-08-16
- changed from openai to groq because no way I'm paying to openai for a…ubturja/Is-It-For-Real · 2026-08-15
- Revert AI assistant LLM provider from OpenAI back to Groq (free tier)mudone1/Tdislogistics · 2026-08-10
- Swap transcription provider from OpenAI to GroqF-NAN-AI-ENGINEERING-RESIDENCY/compass · 2026-08-03
- Rename OpenAI provider to Groq providerKutlay07/ai-assistant-platform · 2026-07-31
- Task 1 done Migrate completely from OpenAI to GroqQuantumLogicsLabs/RepoMind · 2026-07-27
- Switch AI provider from OpenAI to GroqShiveshDragon/Benefit_Bridge · 2026-07-25
- Switch SAP prompt improver from Groq to OpenAIabhishekashishde-byte/SAP-Brain · 2026-09-22
- refactor: migrate from Groq to OpenAI gpt-5.4-nano for ISL translationkarchit1128/Sanket · 2026-09-22
- Change Groq LLM models: from Llama 3.3 to OpenAI GPTpattames/vet_chatbot_v2 · 2026-09-20
- Changed AI used from groq to openaiReDILABMunich/Helferei · 2026-09-16
- Restore 2026-03-22 QuantSage build and switch AI provider from Groq to OpenAIkabwefrancis13-web/KABWE · 2026-09-15
- fix(groq): migrate deprecated llama models to openai gpt-ossDushmilan/CodeCoach-AI · 2026-08-24
- feat: migrate ForgePair agents from Groq to OpenAIbfrpaulondev/dev-agent-lab · 2026-08-21
- fix(ai): never send Groq catalog ids to OpenAIRevealUIStudio/revealui · 2026-08-18
- Migrate chatbot from Groq to OpenAIhari9255/app_service_demo · 2026-08-10
- Migrate receipt extraction from Groq to OpenAI (gpt-4.1-mini)IlyaShynkevich/grocery-buddy · 2026-08-01
What makers say
Makers on using it for LLM API, from Product Hunt and Starter Story interviews, each linked to the source. Products with a page of their own and fuller notes first.
Shoutout to Groq — the lightning fast inference engine running Voicr's AI under the hood. Without Groq's speed, that under 3 seconds promise wouldn't be possible.
We love using Groq hosting and models. They are a core part of our chat and widget agents. The models are lightning fast and the Groq team is fantastic.
Groq powers our RAG sandbox with their lightning fast inference APIs and the team there is helpful and amazing to work with.
We use GPT-5.6 to power the Basedash AI data analyst. It's incredibly intelligent and, with the right harness, allows us to rank #1 on BI Bench for solving real-world BI scenarios.
Credit where it’s due: OpenAI’s dev tools made it incredibly easy to prototype and test multiple ideas fast. Still unmatched when you need raw speed, documentation, and flexibility.
Quven writes subtitles from the audio of a film on the machine of the user. The Whisper models, run locally through whisper.cpp, can do it and the audio never leaves that machine.
Loved and watch-outs
Themes that recur in makers' words and Hacker News comments, each linked to what it summarises.
- Its models are strong at code generation, reasoning and creative tasks, often chosen after testing alternatives. PHPH 2PH 3PH 4
- The API is reliable and well-priced as the foundation for production features. PHPH 2PH 3HN
- Good docs and a smooth developer experience make integration straightforward. PHPH 2PH 3PH 4
