OpenAI’s weblog publish claims that GPT-5 beats its earlier fashions on a number of coding benchmarks, together with SWE-Bench Verified (scoring 74.9 p.c), SWE-Lancer (GPT-5-thinking scored 55 p.c), and Aider Polyglot (scored 88 p.c), which take a look at the mannequin’s capacity to repair bugs, full freelance-style coding duties, and work throughout a number of programming languages.
Throughout the press briefing on Wednesday, OpenAI post-training lead Yann Dubois prompted GPT-5 to “create a wonderful, extremely interactive internet app for my accomplice, an English speaker, to study French.” He tasked the AI to incorporate options like day by day progress, quite a lot of actions like flashcards and quizzes, and famous that he wished the app wrapped up in a “extremely participating theme.” After a minute or so, the AI-generated app popped up. Whereas it was only one on-rails demo, the outcome was a smooth website that delivered precisely what Dubois requested for.
“It is an incredible coding collaborator, and likewise excels at agentic duties,” Michelle Pokrass, a post-training lead, says. “It executes lengthy chains and power calls successfully [which means it better understands when and how to use functions like web browsers or external APIs], follows detailed directions, and supplies upfront explanations of its actions.”
OpenAI additionally says in its weblog publish that GPT-5 is “our greatest mannequin but for health-related questions.” In three OpenAI health-related LLM benchmarks—HealthBench, HealthBench Laborious, and HealthBench Consensus—the system card (a doc that describes the product’s technical capabilities and different analysis findings) states that GPT-5-thinking outperforms earlier fashions “by a considerable margin.” The pondering model of GPT-5 scored 25.5 p.c on HealthBench Laborious, up from o3’s 31.6 p.c rating. These scores are validated by two or extra physicians, in accordance with the system card.
The mannequin additionally allegedly hallucinates much less, in accordance with Pokrass, a typical challenge for AI the place it supplies false info. OpenAI’s security analysis lead Alex Beutel provides that they’ve “considerably decreased the charges of deception in GPT-5.”
“We’ve taken steps to scale back GPT-5-thinking’s propensity to deceive, cheat, or hack issues, although our mitigations usually are not excellent and extra analysis is required,” the system card says. “Particularly, we’ve skilled the mannequin to fail gracefully when posed with duties that it can not remedy.”
The corporate’s system card says that after testing GPT-5 fashions with out entry to internet searching, researchers discovered its hallucination fee (which they outlined as “share of factual claims that include minor or main errors”) 26 p.c much less frequent than the GPT-4o mannequin. GPT-5-thinking has a 65 p.c lowered hallucination fee in comparison with o3.
For prompts that could possibly be dual-use (doubtlessly dangerous or benign), Beutel says GPT-5 makes use of “protected completions,” which prompts the mannequin to “give as useful a solution as attainable, however throughout the constraints of remaining protected.” OpenAI did over 5,000 hours of pink teaming, in accordance with Beutel, and testing with exterior organizations to verify the system was sturdy.
OpenAI says it now boasts almost 700 million weekly energetic customers of ChatGPT, 5 million paying enterprise customers, and 4 million builders using the API.
“The vibes of this mannequin are actually good, and I believe that persons are actually going to really feel that,” head of ChatGPT Nick Turley says. “Particularly common individuals who have not been spending their time excited about fashions.”