Evidence of GPT-4.5 has emerged in the Android beta of ChatGPT, signaling a potential step toward unified AI that blends everyday text creation with deeper logic.
This aligns with OpenAI’s decision to drop its o3 model and integrate its reasoning features into an upcoming release of GPT-5.
OpenAI CEO Sam Altman had shared plans of consolidating OpenAI’s complex model offering with fewer model, saying “We hate the model picker as much as you do and want to return to magic unified intelligence.” Observers believe GPT-4.5 might fill the gap until GPT-5 fully streamlines everything.
Single Models for Text and Chain-of-Thought Reasoning
Some users have spotted an announcement in the ChatGPT beta app, references indicate GPT-4.5 could arrive as a “research preview” first for Pro-tier subscribers as a, who often seek advanced chat features and robust chain-of-thought reasoning steps.
This approach would let a single engine handle routine or complex tasks without swapping between GPT-4 or o1 for specialized logic. With that, users might welcome fewer model names, especially if GPT-4.5 performs well in math, coding, and multi-turn discussions. Altman’s statement hinted that GPT-4.5 aims to bring us closer to a single unified AI model, a direction widely expected to culminate with GPT-5.
DeepSeek, Claude 3.7 Sonnet, and xAI: Rivals in Advanced Reasoning
While GPT-4.5 readies its arrival, China’s DeepSeek hopes to challenge Western labs with R2, as described in our recent coverage as a model optimized for coding and broad language tasks. Industry watchers question if hardware limits and local rival Alibaba’s QwQ-Max-Preview could stall a global R2 launch.
Another competitor is xAI’s Grok 3, which uses the Colossus supercomputer for extensive training. Developer Andrej Karpathy tested it and commented, “Grok 3 with Thinking solves it great, while o1-pro fails.” Although Grok shows promise, it allegedly stumbles on creative puzzles, revealing a gap that GPT-4.5 could potentially fill. Observers say these emerging solutions all chase the same idea: cutting reliance on multiple models and unifying conversation, logic, and coding in a single AI.
Meanwhile, Anthropic just introduced Claude 3.7 Sonnet to combine quick replies with deeper “thinking time,” explaining in its release, “We generally find that prompting for the model works similarly in both modes… we’ve optimized somewhat less for math competition problems, and instead shifted focus towards real-world tasks.”
The benchmarks released by Anthropic with its Claude 3.7 Sonnet model provide a good snapshot of the current state of reasoning AIs and how China’s DeepSeek R1, which stirred up things quite a bit, is already is being outperformed by newer models.
