OpenAI has officially unveiled GPT-5 Turbo, the company's most advanced language model to date, marking what CEO Sam Altman called "a fundamental leap in machine reasoning." The model, which enters general availability next month, demonstrates a 40% improvement in complex reasoning tasks compared to its predecessor.
What Makes GPT-5 Turbo Different
Unlike previous iterations that primarily improved through scale, GPT-5 Turbo introduces what OpenAI describes as "structured reasoning chains" — a novel architecture that allows the model to decompose complex problems into logical steps before generating a response. In internal benchmarks, the model achieved a 92% accuracy rate on graduate-level mathematics problems, up from 67% with GPT-4 Turbo.
"This isn't just about being bigger. We've fundamentally rethought how the model approaches multi-step problems," said Mira Murati, OpenAI's CTO, during the announcement.
Benchmark Results
The improvements are particularly striking in coding and scientific reasoning:
- HumanEval coding benchmark: 96.2% pass rate (up from 87.1%)
- MATH dataset: 91.8% accuracy (up from 68.4%)
- GPQA (science reasoning): 78.3% (up from 53.6%)
- ARC-AGI benchmark: 82.1% (up from 45.2%)
Pricing and Availability
GPT-5 Turbo will be available through OpenAI's API at $15 per million input tokens and $45 per million output tokens — roughly 2x the cost of GPT-4 Turbo. ChatGPT Plus subscribers will get access to a consumer-optimized version starting August 1.
The model also introduces a new "extended thinking" mode that allows it to spend more compute time on particularly challenging problems. In this mode, the model can take up to 60 seconds to reason through a problem before responding, though OpenAI says most queries complete in under 5 seconds.
Industry Reaction
The announcement has sent ripples through the AI industry. Shares of companies building on OpenAI's platform jumped 8% in early trading, while competitors scrambled to respond. Google DeepMind is expected to announce its own next-generation model within weeks.
"The reasoning improvements are real and significant," said independent AI researcher Simon Willison, who was granted early access. "For the first time, I'm seeing a model that can reliably handle problems that require genuine multi-step logic."
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