OpenAI

APIs and tools for building AI products

5.0•704 reviews•

11K followers

APIs and tools for building AI products

5.0•704 reviews•

11K followers

Visit website

LLMs

•

Foundation Models

The most powerful platform for building AI products. Build and scale AI experiences powered by industry-leading models and tools.

OpenAI Reviews

The community submitted 704 reviews to tell us what they like about OpenAI, what OpenAI can do better, and more.

5.0

Based on 704 reviews

Review OpenAI?

Founders consistently praise OpenAI for dependable reasoning, fast iteration, and production-ready APIs. The makers of

Lovable

cite rapid prototyping to shipping with minimal infra worries. The makers of

folk

highlight reliable models for GTM tasks and smoother instruction-following. The makers of

Amplitude

note stable, scalable performance across workflows. Broader reviews applaud improved intent awareness, tone adaptation, and a robust ecosystem. Requested improvements: more transparency and controls, clearer best-practice guidance, stronger long-term context, and steadier pricing and limits. Overall, a trusted backbone for builders and teams.

+708

Summarized with AI

Pros

AI API (42)

fast performance (27)

AI integration ease (21)

AI model variety (20)

AI productivity boost (19)

AI innovation (18)

AI text generation (16)

AI creativity enhancement (14)

AI developer experience (12)

AI natural language processing (10)

Cons

AI accuracy issues (9)

AI environmental impact (2)

AI pricing (2)

Pros

Cons

Reviews

All Reviews

Most Informative

•8 reviews

OpenAI has completely reshaped how I build and communicate. The APIs are powerful, flexible, and surprisingly intuitive. Whether it's coding, writing, or ideation—it's like having a super collaborator on call. Would love even more transparency around model updates and roadmap, but overall, it’s a game-changer.

What's great

AI integration ease (21)AI API (42)AI productivity boost (19)AI creativity enhancement (14)

Report

40 views7mo ago

used

OpenAI

to build Sara

•3 reviews

Most mature function-calling for complex agent workflows, and flexible enough to tier models by task - fast and cheap, high-capability for critical decisions.

Alternatives Considered

Report

1 view4d ago

used

OpenAI

to build GoCodeo

•17 reviews

OpenAI’s models power the core reasoning in GoCodeo, from parsing product specs to generating production-grade code. Its API is stable, well-documented, and handles complex logic with minimal prompting. When paired with GoCodeo’s Model Context Protocol, it gets even more powerful, generating code that aligns with existing architecture and user intent.

Report

3 views9mo ago

used

OpenAI

to build Mozzie

•3 reviews

OpenAI provides stable APIs, strong coding models, and excellent ecosystem support. Reliability and tooling mattered more than raw benchmark scores.

Alternatives Considered

Report

2d ago

used

OpenAI

to build EmotionSense Pro

•3 reviews

For speech sentiment analysis, OpenAI’s models offered unmatched accuracy and flexibility. We tried a few other NLP APIs, but OpenAI stood out with its ability to detect nuanced emotional tone in conversation while keeping integration seamless. It helped us build a smarter emotional layer into EmotionSense without overengineering.

Report

2 views9mo ago

used

OpenAI

to build OpenUI

•4 reviews

Used for its strong reasoning and long-context capabilities, which help power reliable AI behaviors in the project.

Alternatives Considered

Report

4d ago

used

OpenAI

to build Better Call Santa

•5 reviews

We used OpenAI's new Realtime Voice API for the voice calling features, and it was a blast. We had also considered transcribing the user's voice requests, sending them to a text-based LLM and then using TTS to convert them to "Santa Voice", but no alternatives were as good as the Realtime API.

Report

2 views1yr ago

used

OpenAI

to build Qagent

•9 reviews

We use OpenAI because their models consistently lead the field in reasoning and language understanding. For building autonomous test agents that interpret complex instructions, OpenAI gives us the reliability and depth we need — it's not just powerful, it's practical.

Report

2 views10mo ago

•4 reviews

OpenAI’s API has genuinely transformed the way I work and approach daily challenges. I’m not a technical expert, but using ChatGPT has made writing, researching, and even tackling tricky problems so much easier and more efficient. What impresses me most is how it helps break down complex issues step by step, offering clear and helpful solutions. Of course, there are times when the answers aren’t perfect or miss the mark, but overall, the experience has been outstanding. I hope to see even more improvements in the future, making the AI even more intuitive and accurate. Thank you to the OpenAI team for making advanced technology accessible and useful for everyone!

What's great

AI accessibility (2)AI API (42)AI productivity boost (19)AI problem-solving (7)

What needs improvement

AI accuracy issues (9)

Report

37 views8mo ago

•10 reviews

GPT Models: The Generative Pre-trained Transformer series, including ChatGPT, revolutionized natural language processing, enabling machines to communicate effectively with humans. Codex: This AI system powers GitHub Copilot, offering software developers a way to streamline their coding processes. DALL·E: OpenAI’s image-generation model showcases the creative potential of AI by generating unique, high-quality images from textual descriptions. Reinforcement Learning Research: OpenAI’s advancements in reinforcement learning have laid the foundation for robotics and gaming applications.

What's great

AI image generation (8)AI innovation (18)AI natural language processing (10)AI coding assistance (9)

Report

35 views12mo ago

1 2 3

•••