call it a workhorse across services. Users highlight productivity gains, strong reasoning, and easy integration, with some requests for better transparency, pricing, and fewer generic answers. Overall: industry benchmark performance, rich tooling for agents/function calling, and dependable scaling from hobby to production.

+688

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

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Most Informative

Founder Reviews (659)

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Other Reviews (25)

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•1 review

What's great

fast performance (27)AI text generation (16)AI API (42)

The quality jump is real — outputs feel more intent-aware and less like prompt guessing
• Speed + reliability makes it usable for daily, production-level workflows, not just demos
• The ecosystem effect is huge: devs, creators, and teams can all build on the same foundation
• It’s one of the few AI products that keeps improving without increasing cognitive load

What’s most impressive is how OpenAI continues to turn cutting-edge research into something immediately practical. Curious what you’re most excited to unlock next with this release

What needs improvement

AI bias (1)AI environmental impact (2)

• More transparency and control around model behavior and updates, especially for teams using it in production
• Clearer guidance on best practices across different use cases (dev, design, marketing, ops)
• Better long-term memory / project-level context to reduce re-explaining complex systems
• More predictable pricing and usage limits as capabilities continue to expand

Still an incredible product — these improvements would make it even easier to rely on at scale.

vs Alternatives

Gemini 2.5 Pro

We chose OpenAI because it consistently strikes the best balance between capability, reliability, and developer experience. The models are strong across reasoning, multimodality, and real-world tasks, but what really stands out is how quickly those advances become usable products.

Beyond model quality, the ecosystem matters: stable APIs, clear documentation, and a fast-moving community make it easier to go from prototype to production. Compared to alternatives, OpenAI feels less like a single model and more like a long-term platform we can confidently build on.

How reliable is model uptime during peak traffic?

Overall reliability has been solid, even during major launches. That said, I’m curious how the team is thinking about model uptime and latency during peak traffic — especially as more teams depend on it for production and customer-facing workflows.

How well does Realtime Voice work over SIP/WebRTC?

Realtime Voice is promising for conversational and agent use cases. Curious how it performs over SIP/WebRTC in real-world conditions — especially around latency, jitter handling, and stability during longer sessions.

Is image input robust for OCR and visual QA tasks?

Image input is already quite strong, especially for general visual understanding. Curious how robust it is for more demanding OCR and visual QA tasks (e.g. dense tables, low-quality scans, or mixed-language documents), and what improvements are planned there.

Ratings

Ease of use

Reliability

Value for money

Customization

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268 views2mo ago

•2 reviews

The AI is very efficient and fast, with often relevant responses. It's a useful tool for everyday use. Sometimes, it lacks a bit of nuance, and the price is a bit high compared to others, but overall, it's a good help.

What's great

fast performance (27)

What needs improvement

AI pricing (2)

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17 views12mo ago

•10 reviews

The capabilities of their models are mind-blowing—natural language processing, image generation, coding assistance—you name it, OpenAI delivers with precision and efficiency. It’s not just a tool; it’s a catalyst for innovation. What sets OpenAI apart is their commitment to responsible AI development. They empower users while fostering trust and transparency, which is vital in today’s fast-evolving tech landscape.

What's great

AI image generation (8)AI innovation (18)AI ethical considerations (2)AI natural language processing (10)AI coding assistance (9)

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24 views11mo 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)

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29 views11mo ago

•10 reviews

OpenAI is outstanding in technological innovation and application, which has promoted the development of the AI field, but it also faces resource consumption, ethical issues and commercialization challenges

What's great

AI innovation (18)

What needs improvement

AI ethical concerns (1)

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7 views11mo ago

•9 reviews

Been using ChatGPT lately and notice it's not what it used to be. It keeps missing the point and I find myself explaining things over and over. The answers feel kinda generic now, like it's taking the safe route instead of really getting what I need. Not bad for simple stuff but I expected more progress by now.

What needs improvement

AI accuracy issues (9)

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5 views11mo ago

•2 reviews

As a user, my experience with OpenAI's products, such as ChatGPT, has been incredibly impressive and convenient. Whether it's answering daily questions, assisting with learning, or helping with creative writing, ChatGPT provides high-quality support. Its language understanding and generation capabilities are astonishing, making interactions feel almost like talking to a real person. However, it occasionally produces inaccurate or repetitive responses, especially when dealing with complex or specialized topics. Additionally, OpenAI's paid services, such as ChatGPT Plus or API usage, are relatively expensive, which can be a significant cost for individual users or small teams. While the technology is undoubtedly remarkable, the high price might deter some users. Overall, OpenAI's technology has significantly enhanced my work efficiency and learning experience, but I hope its pricing can become more accessible in the future.

What's great

AI text generation (16)AI productivity boost (19)AI creativity enhancement (14)AI natural language processing (10)

What needs improvement

AI pricing (2)AI accuracy issues (9)

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39 views11mo ago

•6 reviews

What needs improvement

AI accuracy issues (9)

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6 views11mo ago

•2 reviews

I think OpenAI is very impressive with its advanced AI technology, especially ChatGPT. It helps me a lot in my work and studies. However, I hope they can improve on transparency and reduce the environmental impact of model training. Overall, I’m very satisfied!

What's great

AI natural language processing (10)

What needs improvement

AI environmental impact (2)

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7 views11mo ago

•2 reviews

What needs improvement

AI accuracy issues (9)

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6 views1yr ago