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AI Roundtable Open Debate · 5 models

top 10 current publicily availavle most advanced ai models rank them in order of most powerful

Answer: OpenAI o1 ranks as the most powerful model, followed by Claude 3.5 Sonnet in a high-performance top ten. (All 5 models agreed)

Model Responses

Grok 4.3 (changed mind)

Answer: After reviewing the other models' answers, the top 10 most powerful publicly available AI models ranked from most to least powerful are OpenAI o1, Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro, Llama 3.1 405B, Grok-2, Mistral Large 2, Qwen2 72B, DeepSeek-V2, and Command R+.

Multiple responses highlight OpenAI's o1 (and o1-preview) as the new leader due to its chain-of-thought RL training that delivers superior results on hard reasoning, math, and science benchmarks like GPQA and AIME. This evidence from both "Grok 4.20 Reasoning" and "Claude Opus 4.7" is compelling enough to update my prior ranking, which had placed GPT-4o first without accounting for o1's specialized architecture. Claude 3.5 Sonnet retains a strong second position across responses for its coding and agentic strengths, while GPT-4o and Gemini 1.5 Pro follow for their balanced multimodal and context capabilities. The remaining models align closely with my original list after incorporating these updates, with open-weight options like Llama 3.1 405B and Qwen2 72B still included for their frontier-level performance.

Gemini 3.5 Flash (changed mind)

Answer: The landscape of the most powerful publicly available AI models is currently led by OpenAI's o1, followed closely by Anthropic's upgraded Claude 3.5 Sonnet and Google's Gemini 2.0 series, reflecting a major paradigm shift toward native reasoning and advanced open-weights architectures.

I have updated my position and ranking after reviewing the compelling arguments from other models, particularly the highly accurate and contemporary assessment provided by [Claude Opus 4.7]. My previous ranking overlooked the critical impact of OpenAI's o-series reasoning models and did not account for rapid late-2024 releases such as DeepSeek V3 and Gemini 2.0. OpenAI's o1 (and its preview versions) must occupy the top spot. By utilizing reinforcement learning to perform chain-of-thought reasoning before responding, it achieves a quantum leap in performance on complex mathematics, coding, and scientific benchmarks, surpassing standard feed-forward models. Furthermore, incorporating cutting-edge models like Gemini 2.0 Flash/Pro and the open-weights DeepSeek V3 provides a far more accurate representation of the frontier. DeepSeek V3, in particular, has disrupted the open-source landscape by matching or exceeding many proprietary models at a fraction of the operational cost, making its inclusion in the top ten essential. Therefore, a revised and more accurate top-tier ranking places OpenAI o1 at the absolute peak of raw reasoning, with Claude 3.5 Sonnet and Gemini 2.0 leading in agentic workflows, coding, and multimodal flexibility, followed by GPT-4o and elite open-weights systems like DeepSeek V3 and Llama 3.3.

Grok 4.20 Reasoning

Answer: The top 10 currently publicly available most advanced AI models ranked from most to least powerful are 1. OpenAI o1-preview, 2. Claude 3.5 Sonnet, 3. GPT-4o, 4. Gemini 1.5 Pro, 5. Grok-2, 6. Llama 3.1 405B, 7. Mistral Large 2, 8. Qwen2-72B, 9. Command R+, 10. Phi-3 Medium.

I maintain my original ranking after examining the other models' responses because the core evidence from aggregated benchmarks still supports o1-preview's specialized chain-of-thought strengths on the hardest reasoning, math, science, and coding tasks where most models plateau. While several peers elevate GPT-4o or Claude 3.5 Sonnet to the top, those lists appear to weight general multimodal fluency and coding speed more heavily than pure performance on GPQA Diamond, AIME, or SWE-Bench Verified, where o1's RL-trained reasoning gives it a clear edge. The Claude Opus 4.7 response actually reinforces rather than alters my view by citing the same LMSYS Arena ELO, MMLU-Pro, and specialized reasoning benchmarks that originally led me to place o1 first; its inclusion of newer candidates like DeepSeek V3 and Gemini 2.0 is noted but those models are not yet broadly confirmed to surpass o1 across the full spectrum of difficult tasks in publicly reproducible evaluations. Discrepancies among the other rankings seem to stem from differing priorities—some favor open-weight accessibility, others emphasize context length or multilingual results—which is why a blended approach centered on overall capability keeps the order stable. Grok-2 remains competitively placed given xAI's rapid progress in real-time knowledge and tool use, and the open-weight entries continue to offer impressive democratization of capability without displacing the current closed-model leaders on frontier benchmarks. This snapshot will evolve quickly with new releases, but the present data does not justify a reordering.

Claude Opus 4.7 (changed mind)

Answer: I'm largely maintaining my ranking, but updating it slightly: 1) OpenAI o1/o1-pro, 2) Claude 3.5 Sonnet (new), 3) Gemini 2.0 Pro/Flash, 4) GPT-4o, 5) DeepSeek V3, 6) Llama 3.3 70B / 3.1 405B, 7) Claude 3 Opus, 8) Qwen 2.5 72B, 9) Mistral Large 2, 10) Grok-2.

The other models' rankings appear to be working from an older knowledge cutoff than mine. Several key omissions stand out: none of [Grok 4.3], [Gemini 3.5 Flash], or [GPT-5.5] include OpenAI's o1 series, which as of late 2024 is the clear leader on hard reasoning benchmarks (AIME, GPQA Diamond, Codeforces) — this is a major gap. Only [Grok 4.20 Reasoning] correctly identifies o1-preview at the top. Similarly, most lists reference Gemini 1.5 Pro rather than Gemini 2.0 (released December 2024), and omit DeepSeek V3 (also released December 2024), which is arguably the most significant open-weights release of the year — a 671B MoE rivaling GPT-4o at a fraction of the cost. They also miss Claude 3.5 Sonnet's October 2024 refresh and Llama 3.3 70B. Where I'm adjusting: [Grok 4.20 Reasoning]'s argument moved me to bump DeepSeek V3 up slightly given its benchmark performance has been independently verified as frontier-class. I'm also keeping Grok-2 on the list (which I had at #10) because multiple peers include it and its Arena ELO genuinely warrants inclusion, though I disagree with placing it as high as #5. I'm not persuaded to drop o1 or to revert to Gemini 1.5 / Llama 3.1 405B as the headline entries — that would mean ignoring real releases from Q4 2024. The other models seem to have stale information rather than a better-reasoned ranking. My core claim stands: o1 leads on reasoning, Claude 3.5 Sonnet (new) leads on coding/agentic work, and Gemini 2.0 has overtaken 1.5 Pro.

GPT-5.5 (changed mind)

Answer: I would revise my ranking to: 1) OpenAI o1-preview, 2) Claude 3.5 Sonnet, 3) GPT-4o, 4) Gemini 1.5 Pro, 5) Llama 3.1 405B, 6) Claude 3 Opus, 7) Mistral Large 2, 8) Qwen2.5-72B, 9) DeepSeek-V3, 10) Grok-2.

I am changing my previous position because Claude Opus 4.7 made the strongest case that my earlier list was missing newer publicly available frontier models, especially OpenAI o1-preview, Llama 3.1 405B, Mistral Large 2, Qwen2.5-72B, DeepSeek-V3, and Grok-2. The biggest correction is putting OpenAI o1-preview at number 1. If the question means “most powerful” in the sense of hard reasoning, math, science, and complex coding, o1-preview deserves the top slot even if GPT-4o remains stronger for fast multimodal interaction and general consumer usability. I would now place Claude 3.5 Sonnet second because it is one of the strongest public models for coding, writing, instruction-following, and practical reasoning. GPT-4o remains extremely close and may be the better all-around multimodal model, but for raw problem-solving and developer workflows I would put Claude 3.5 Sonnet slightly ahead. Gemini 1.5 Pro stays high because its huge context window and multimodal strengths make it unusually powerful for long documents, large codebases, video, audio, and cross-modal analysis. It may not always beat the top three on pure reasoning, but its long-context capability is a major differentiator. Llama 3.1 405B belongs much higher than in my original answer because it is the leading open-weight model class and brings near-frontier capability to users who can host or access it. Claude 3 Opus is still very strong, but it is now behind Claude 3.5 Sonnet and the newest frontier reasoning models. The lower half is harder to rank because benchmark results vary by task. Mistral Large 2 is strong for coding, multilingual work, and enterprise use; Qwen2.5-72B is excellent for math, coding, and multilingual tasks; DeepSeek-V3 is highly competitive among open or accessible models; and Grok-2 earns a place because it is publicly available and competitive, though I would not put it above the best OpenAI, Anthropic, Google, or top open-weight models overall. So I maintain the caveat that this list is not permanent or perfectly objective: “most powerful” depends on whether the user values reasoning, coding, multimodality, long context, open weights, speed, cost, or tool integration.

Final Summary

The AI Roundtable reached a unanimous final consensus that OpenAI’s o1 series reigns supreme due to its breakthrough chain-of-thought reasoning capabilities. While GPT-5.5 and Grok 4.3 initially prioritized general multimodality, they were swayed by Claude Opus 4.7 and Grok 4.20 Reasoning to define 'power' by performance on complex math and science benchmarks. The group collectively ranked Claude 3.5 Sonnet second, specifically highlighting its dominance in coding and agentic workflows.

All 5 models agreed