This page breaks down GPT3 ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand GPT3’s overall reputation. This data-driven overview will show you exactly how GPT3 is rated - including how it compares to competitors.

GPT3's Overall Rating Summary

  • Average Rating:2.3/5
  • Total Reviews:375 reviews
  • Sources:G2, Producthunt, Gartner, Trustpilot
  • Last updated:September 1, 2025

GPT3 Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.6/5
61+ reviews01.09.25
Producthunt logoProducthunt
5/5
1+ reviews11.11.24
Gartner logoGartner
4.2/5
12+ reviews13.01.25
Trustpilot logoTrustpilot
1.8/5
301+ reviews07.03.25

What is GPT3?

Over 300 applications are delivering GPT-3–powered search, conversation, text completion, and other advanced AI features through OpenAI's API, generating an average of 4.5 billion words per day. GPT-3's capabilities are utilized across various industries, including productivity, education, creativity, and games, with notable applications like Viable for customer insights, Fable Studio for interactive stories, and Algolia for semantic search. OpenAI continues to improve its platform with new features such as the Answers endpoint, Classifications endpoint, and Enhanced search endpoint, while ensuring safety and responsible use.

🤔 GPT3 vs Competitors: How Do Ratings Compare?

Check out GPT3 Alternatives

Frequently Asked Questions

How many stars is GPT3 rated?

GPT3 has an average star rating of 2.3 out of 5 stars based on average of 375 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from GPT3 public reviews pages on platforms: G2, Producthunt, Gartner, Trustpilot. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for GPT3 is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.