Pascal Bornet flags model convergence
- Consultant Pascal Bornet argued that top artificial intelligence systems are collapsing separate “reasoning” and “multimodal” tracks into fewer general-purpose model families. - OpenAI said in 2025 that “the big trend was convergence,” while its o3 and o4-mini models could reason with images. - Anthropic and OpenAI now both market flagship models around coding, tools, and extended thinking, not narrow single-mode use cases. (openai.com)
Artificial intelligence labs used to ship separate models for separate jobs. In 2025 and 2026, OpenAI and Anthropic increasingly described one flagship line handling text, images, tools, and longer reasoning. (openai.com) (anthropic.com) Pascal Bornet, a consultant and author who writes about enterprise artificial intelligence, framed that shift as convergence: reasoning models and multimodal models are starting to look like the same product category. His post pointed to a market where vendors compete less on model labels and more on how far a single system can go. (x.com) In plain terms, a reasoning model is one tuned to spend more compute on multi-step problems, while a multimodal model can work across inputs like text and images. Convergence means those features are no longer split cleanly across different model families. (openai.com 1) (openai.com 2) OpenAI said in a December 2025 developer post that “the big trend was convergence,” with reasoning depth, tool use, and conversational quality increasingly living inside the same flagship model line. The company also said model choice was becoming more about cost, latency, and quality than choosing fundamentally different families. (openai.com) OpenAI’s April 16, 2025 release on o3 and o4-mini made the same point in product terms: the models could “think with images,” not just parse them. That moved visual input from a separate perception feature into the model’s internal problem-solving loop. (openai.com) Anthropic’s current Claude materials describe a similar bundle. Claude Sonnet 4.6 is marketed for coding, browser and computer use, long-running agents, and “extended, step-by-step thinking,” rather than a single narrow specialty. (anthropic.com) Anthropic’s April 16, 2026 launch of Claude Opus 4.7 pushed the same frontier on difficult software engineering tasks, and its February 2026 system cards describe Opus and Sonnet as large language models for agentic work, long-context reasoning, and production workflows. (anthropic.com 1) (anthropic.com 2) That helps explain why leading labs still spend heavily on research even as application programming interfaces get easier to distribute. If flagship systems are converging into all-purpose engines, the commercial fight shifts toward who can keep improving the frontier, not who can sell the simplest wrapper. (openai.com) (anthropic.com) Bornet’s post did not announce a new model release. It captured a pattern the major labs have already started describing in their own product and research pages. (x.com) (openai.com)
