GPT-5 Turbo Achieves New SOTA on Multimodal Benchmarks
OpenAI has unveiled GPT-5 Turbo, its most capable multimodal model to date. The model achieves new state-of-the-art results on MMMU (71.2%), MathVista (68.9%), and Document AI benchmarks, surpassing all previous models including its own GPT-4o and competitors like Claude and Gemini. A key innovation is the unified multimodal architecture that processes text, images, video, and […]
OpenAI has unveiled GPT-5 Turbo, its most capable multimodal model to date. The model achieves new state-of-the-art results on MMMU (71.2%), MathVista (68.9%), and Document AI benchmarks, surpassing all previous models including its own GPT-4o and competitors like Claude and Gemini.
A key innovation is the unified multimodal architecture that processes text, images, video, and audio through a single transformer backbone, eliminating the need for separate encoders. This leads to more coherent cross-modal reasoning and reduced latency.
The model is available through the OpenAI API with a context window of 256K tokens and supports function calling, structured outputs, and real-time streaming for all modalities.
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