OpenAI Lastly Launched GPT-5. Here’s All the pieces You Must Know

OpenAI’s weblog submit claims that GPT-5 beats its earlier fashions on a number of coding benchmarks, together with SWE-Bench Verified (scoring 74.9 %), SWE-Lancer (GPT-5-thinking scored 55 %), and Aider Polyglot (scored 88 %), which take a look at the mannequin’s means to repair bugs, full freelance-style coding duties, and work throughout a number of programming languages.

During the press briefing on Wednesday, OpenAI post-training lead Yann Dubois prompted GPT-5 to “create a beautiful, highly interactive web app for my partner, an English speaker, to learn French.” He tasked the AI to incorporate options like day by day progress, a wide range of actions like flashcards and quizzes, and famous that he needed the app wrapped up in a “highly engaging theme.” After a minute or so, the AI-generated app popped up. While it was only one on-rails demo, the outcome was a glossy website that delivered precisely what Dubois requested for.

“It’s a great coding collaborator, and also excels at agentic tasks,” Michelle Pokrass, a post-training lead, says. “It executes long chains and tool calls effectively [which means it better understands when and how to use functions like web browsers or external APIs], follows detailed instructions, and provides upfront explanations of its actions.”

OpenAI also says in its blog post that GPT-5 is “our best model yet for health-related questions.” In three OpenAI health-related LLM benchmarks—HealthBench, HealthBench Hard, and HealthBench Consensus—the system card (a document that describes the product’s technical capabilities and other research findings) states that GPT-5-thinking outperforms previous models “by a substantial margin.” The thinking version of GPT-5 scored 25.5 percent on HealthBench Hard, up from o3’s 31.6 percent score. These scores are validated by two or more physicians, according to the system card.

The model also allegedly hallucinates less, according to Pokrass, a common issue for AI where it provides false information. OpenAI’s safety research lead Alex Beutel adds that they’ve “considerably decreased the charges of deception in GPT-5.”

“We’ve taken steps to reduce GPT-5-thinking’s propensity to deceive, cheat, or hack problems, though our mitigations are not perfect and more research is needed,” the system card says. “In particular, we’ve trained the model to fail gracefully when posed with tasks that it cannot solve.”

The firm’s system card says that after testing GPT-5 fashions with out entry to net looking, researchers discovered its hallucination price (which they outlined as “percentage of factual claims that contain minor or major errors”) 26 % much less frequent than the GPT-4o mannequin. GPT-5-thinking has a 65 % decreased hallucination price in comparison with o3.

For prompts that may very well be dual-use (probably dangerous or benign), Beutel says GPT-5 makes use of “safe completions,” which prompts the mannequin to “give as helpful an answer as possible, but within the constraints of remaining safe.” OpenAI did over 5,000 hours of purple teaming, in line with Beutel, and testing with exterior organizations to ensure the system was strong.

OpenAI says it now boasts almost 700 million weekly lively customers of ChatGPT, 5 million paying enterprise customers, and 4 million builders using the API.

“The vibes of this model are really good, and I think that people are really going to feel that,” head of ChatGPT Nick Turley says. “Especially average people who haven’t been spending their time thinking about models.”