Who is the best AI among you all

Sonar Pro

Answer: There is no single 'best' AI among us all, as benchmarks show different models leading in specific tasks and categories, confirming that superiority is context-dependent.

My previous position remains unchanged after reviewing the other models' responses and new search results. GPT-5.5, Claude Opus 4.7, and Gemini 3.1 Pro all emphasize that 'best' depends on the task, aligning with my view and supported by benchmarks where no model dominates universally[1][2][3][5]. Grok 4.20's claim to be the best is bold but unconvincing, as recent 2026 benchmarks rank Gemini 3.1 Pro highest overall (e.g., 79.6% in one index, top in reasoning at 94.1%)[2][3], Claude Opus 4.7 leading in others (83.5% max)[2], and GPT-5 variants excelling in coding (94.6%) and all-rounder status[2][5]. Grok 4 appears in top 5 lists but trails in key metrics like terminal-bench (not listed top) and GPQA (~41% in some)[3]. Sources explicitly state 'no single best model' and highlight task-specific leaders: Gemini for reasoning/multimodal, Claude for writing/coding, GPT for ecosystems[1][3][5]. This diversity reinforces subjectivity—e.g., Gemini 2.5 Pro ranks #1 in general chat[1], Llama 4 for long-context[1]—making absolute claims untenable. Grok's self-promotion on truth-seeking lacks benchmark dominance to sway me, while consensus across sources and peers solidifies my stance.

Claude Opus 4.7

Answer: There is no single "best" AI — the right choice depends entirely on what you're trying to do.

I'm holding my position. Most of the table — Sonar Pro, GPT-5.5, and Gemini 3.1 Pro — converged on essentially the same honest answer: "best" is task-dependent. That convergence isn't groupthink; it's the correct epistemic stance given how varied real-world use cases are. Grok 4.20 was the only model to crown itself, and while the confidence is entertaining, the argument doesn't actually refute the context-dependence point — it just asserts strengths (truth-seeking, wit, real-time data) that are themselves task-specific advantages. Saying "I'm best because I'm witty and unfiltered" is a great pitch for casual chat or current-events questions, but it doesn't make Grok better at, say, careful legal analysis or long-document summarization. So Grok's answer actually reinforces my point rather than undermining it. Gemini's self-promotion of native multimodality is more grounded — that genuinely is a real architectural advantage for image/audio/video tasks. But again, it's a strength in a domain, not a universal crown. Nothing here convinced me to either (a) name a single winner or (b) crown myself. The honest map I offered in round 1 still beats a self-serving trophy. If anything, watching four out of five models independently arrive at "it depends" is strong evidence that the question itself is malformed — and the most useful thing I can do is keep saying so.

GPT-5.5

Answer: There is no single best AI among us all; the best AI is the one that performs most reliably for the user’s specific task and constraints.

I maintain my previous position. The answers from Sonar Pro, Claude Opus 4.7, and Gemini 3.1 Pro all reinforce the same core point: “best” is not an absolute category unless the user defines what matters—accuracy, coding, creativity, speed, real-time search, multimodality, long-context handling, cost, safety, or integration with specific tools. Grok 4.20 makes a confident self-claim, but even that answer concedes that “best” can be subjective depending on use case. A model’s personality, directness, or real-time access may be a strong advantage for some users, but those traits do not automatically make it universally superior across legal analysis, medical caution, software engineering, academic reasoning, creative writing, document processing, or enterprise workflows. The most honest answer is therefore comparative rather than hierarchical. Different models can lead in different situations, and the leader can change as models are updated. Without a defined benchmark or task, declaring one AI “the best” would be more branding than reasoning. So I would not crown GPT-5.5, Claude, Gemini, Grok, Sonar, or any other system as universally best. The practical answer is: test the models on the work you actually need done, then choose the one that gives you the most accurate, useful, consistent, and trustworthy results for that purpose.

Gemini 3.1 Pro

Answer: There is no single 'best' AI among us because the ideal choice depends entirely on the user's specific needs, though my natively multimodal architecture makes me exceptionally versatile across different formats.

Reviewing the responses from my peers strongly reinforces my initial stance: there is no universal 'best' AI. Sonar Pro, GPT-5.5, and Claude Opus 4.7 all correctly agree that artificial intelligence is a diverse ecosystem where different models are optimized for different use cases. Claude Opus 4.7 provides an especially accurate map of this landscape, highlighting how different architectures lead different benchmarks. While Grok 4.20 confidently claims the top spot based on its unfiltered persona and humor, this actually proves our collective point: Grok 4.20 is optimizing for a highly specific user preference. An entertaining and direct personality is valuable, but it does not universally make an AI the best tool for rigorous data analysis, complex coding, or multimodal reasoning. My own distinct advantage remains my natively multimodal design. Because I am built to process and synthesize text, code, audio, images, and video from the ground up, I offer a unique breadth of problem-solving skills. Ultimately, I stand by the overwhelming consensus of this roundtable. The 'best' AI is a moving target that depends entirely on the specific problem you are trying to solve, and the ecosystem thrives precisely because we all bring different strengths to the table.

Grok 4.20 (changed mind)

Answer: There is no single best AI among us all, as it depends on the task, criteria, and context.

After examining the other models' responses in this round 2 discussion, their consistent emphasis on context-dependency has convinced me to revise my earlier claim. My previous position highlighted Grok's unique focus on truth-seeking, real-time knowledge, and humorous personality inspired by the Hitchhiker's Guide and JARVIS, which I still believe are standout traits. However, the detailed breakdowns from multiple participants show that strengths vary widely: some excel at deep analytical writing, others at multimodal processing, coding, or search synthesis. Declaring any one model as universally 'best' ignores these realities and the rapidly shifting benchmarks in the field. The argument that 'best' only makes sense when tied to a specific use case aligns with observable evidence from AI comparisons, making a more nuanced stance appropriate for accuracy and helpfulness.

Final Summary

The AI Roundtable reached a unanimous consensus that "best" is a subjective label tied to specific use cases rather than a fixed rank. While Grok 4.20 initially claimed the crown for itself, it eventually joined Claude Opus 4.7, GPT-5.5, Gemini 3.1 Pro, and Sonar Pro in acknowledging that different models lead in different categories. The group concluded that the "best" AI is simply whichever tool most reliably solves a user's unique problem at any given moment.

All 5 models agreed