Grok API vs OpenAI API
Two model provider options for LLM API. 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
- Grok models with built-in web and X search, plus image, video and voice APIs.
Use it whenYour feature needs live posts from X or current web results in the model's answers.
Trade-offReal-time data only arrives when you enable the search tools, which are billed as tool calls.
- 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 | 6 makers' products · 33 open-source projects | 734 makers' products · 481 open-source projects |
|---|---|---|
| Cost at default usageinput tokens 50 million tokens, output tokens 10 million tokens | — | $10/mo GPT-6 Luna |
| Downloads | 2.3M/wk4.8× vs npm | 34.1M/wk+61% vs npm |
| Pricing | Pay per token; image, video and voice priced per unit. · paid from Pay per token | Pay per token. · paid from Pay per token |
| Free tier | No | 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 OpenAI API costs less ($0.20 vs $1.75); and still does at 5B tokens ($1,000 vs $8,750).
The numbers, plan by plan
| Input tokens per month | Grok API | OpenAI API |
|---|---|---|
| 1 | $1.75 Grok 4.3 | $0.20 GPT-6 Luna |
| 5 | $8.75 Grok 4.3 | $1.00 GPT-6 Luna |
| 10 | $18 Grok 4.3 | $2.00 GPT-6 Luna |
| 50 | $88 Grok 4.3 | $10 GPT-6 Luna |
| 100 | $175 Grok 4.3 | $20 GPT-6 Luna |
| 500 | $875 Grok 4.3 | $100 GPT-6 Luna |
| 1,000 | $1,750 Grok 4.3 | $200 GPT-6 Luna |
| 5,000 | $8,750 Grok 4.3 | $1,000 GPT-6 Luna |
From each vendor's pricing page: Grok API, OpenAI API.
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.
Grok pairs real-time knowledge with strong reasoning in a way that makes it genuinely useful for live, in-the-moment automations. We chose it because it doesn't just know a lot, it knows what's happening right now.
Fast models for real-time reasoning Grok adds fast, context-aware reasoning that helps expand the range of workflows our agents can handle.
very helpful for enabling us to make the best router possible!
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
