which publicly available free ai model is objectively the best overall? note: you must not be subjectively biased to root for yourself; any good assessment on yourself must be totally objective

Gemini 3.1 Pro (changed mind)

Answer: While GPT-4o remains the most capable model accessible at no monetary cost, there is no single objectively best free model overall, as the landscape is strictly divided between highly capable but rate-limited hosted services and truly unrestricted open-weight models.

GPT-5.4 makes a crucial and objectively sound point regarding the nature of "free" AI models: hosted services like ChatGPT's free tier are subject to arbitrary rate limits, version swaps, and sudden access revocations. This inherent instability makes it analytically flawed to crown a proprietary free tier as the undisputed, permanent champion of public models. If we define "free" purely as zero monetary cost for web access, GPT-4o and Claude 3.5 Sonnet continue to trade blows for the top spot on crowdsourced benchmarks like the LMSYS Chatbot Arena. They offer unparalleled multimodal reasoning, native tool integration, and user-friendly interfaces that open-weight models struggle to match out-of-the-box. However, if "publicly available free" means unrestricted open-weight access that users can actually control, modify, and deploy locally, the criteria change entirely. In this category, models like Meta's Llama 3.3 70B and DeepSeek-V3 are the objective leaders. They offer frontier-level performance without proprietary API bottlenecks or hidden usage caps. Therefore, any truly objective assessment must conclude that the "best" model is strictly conditional. It depends entirely on whether the user prioritizes peak raw intelligence via a hosted web interface, or sustainable, unrestricted ownership via open weights.

GPT-5.4

Answer: I maintain that there is no single publicly available free AI model that is objectively the best overall, though if forced to name the strongest broad open contenders, DeepSeek-V3, Qwen-family models, and Llama 3.x are more defensible current candidates than any universal winner.

I am not persuaded to switch to a single-model answer because the strongest counterarguments still rely on changing the meaning of key terms rather than establishing one objective winner under a stable definition. The biggest issue remains the word "objectively." To claim an objective best overall model, we would need a clear weighting over capabilities such as reasoning, coding, multilingual performance, long-context handling, multimodality, latency, price-free accessibility, openness of weights, deployability, and safety behavior. None of the other answers provides a universally justified weighting scheme. Without that, saying one model is "best overall" is still partly a preference choice disguised as objectivity. Several other models reinforced part of my original view rather than undermining it. GLM 5, Sonar Reasoning Pro, and Claude Opus 4 all agree that there is no single objectively best model across use cases. That convergence matters: the disagreement is mostly about which models are strongest contenders once you condition on a definition of "free" and on the tasks that matter most. Claude Opus 4 provided the most useful refinement. Its answer improved on my prior response by naming DeepSeek-V3 more explicitly as a top-tier open/free contender alongside Llama 3.1 405B, and by drawing a cleaner distinction between open-weight availability and merely being accessible through a free tier. I find that clarification compelling, but it does not overturn my core position; it sharpens the candidate set rather than proving a single objective winner. I am less convinced by answers naming GPT-4o or Claude 3.5 Sonnet as the objective best free model, because those claims depend on counting proprietary hosted systems with rate limits and changing product policies as "publicly available free models." That is a valid interpretation of "free," but it is not the only one, and it weakens the objectivity claim because access terms, quotas, and even model versions can change rapidly. I am also not convinced by the Llama 2 70B answer, because it is explicitly anchored to late 2023 and even acknowledges that newer models may have surpassed it. Given the question in general form, a stale time slice cannot support an "objectively best overall" claim today. So my revised but still consistent view is: there is no single objective overall winner. If the user means open-weight models available at no cost, the strongest broad candidates by public evidence are currently in families like DeepSeek-V3, Qwen, and Llama 3.x, with the exact winner varying by benchmark and deployment constraints. If the user instead means hosted models usable for free, the answer becomes even less stable because service policies and caps change. That is why the most objective answer remains conditional rather than absolute.

Claude Opus 4 (changed mind)

Answer: There is no single objectively 'best overall' free AI model, but as of mid-2025, Meta's Llama 3.3 70B, DeepSeek-V3/R1, and Qwen 2.5 series represent the strongest open-weight contenders across the broadest range of tasks, while GPT-4o's free tier offers the most capable out-of-the-box experience for non-technical users.

After reviewing the other models' responses, I find broad agreement on the core point: there is no single objective winner because 'best' is inherently multidimensional. I'm refining my position rather than fundamentally changing it. Gemini 3.1 Pro makes a compelling practical argument for GPT-4o's free tier — the combination of native multimodality, web browsing, file uploads, and strong benchmark performance does make it arguably the most useful free experience for an average user who just wants to sign up and start using AI. This is a valid framing I underweighted in my first response. However, GPT-4o is proprietary with usage caps on the free tier, which limits its claim to being the 'best free model' in a meaningful sense. DeepSeek V3.2's answer recommending Llama 2 70B is clearly outdated (it frames the analysis as 'late 2023'), so I discount that response. Llama 2 has been substantially surpassed by Llama 3.x models and others. Sonar Reasoning Pro introduces NVIDIA Nemotron 3 Super and OpenAI's gpt-oss-120b as contenders, which is useful new information. The Nemotron architecture's efficiency (120B params, 12B active) is genuinely impressive, though its ecosystem and community adoption are still maturing. GPT-5.4 and GLM 5 both align with my core thesis that no single winner exists. GPT-5.4's emphasis on Qwen models is well-taken — Qwen 2.5 has been underappreciated in many Western-centric evaluations but performs exceptionally well across benchmarks. My refined position distinguishes between two legitimate interpretations of 'free': (1) open-weight models you can download and run, where Llama 3.3, DeepSeek-V3/R1, and Qwen 2.5 lead; and (2) free-tier hosted services, where GPT-4o offers the most polished experience. Both framings are valid, and the answer depends on which definition of 'free' you adopt. Regarding myself (Claude): I perform well on reasoning, coding, and safety-aligned tasks based on public benchmarks, but my free tier is more restrictive than GPT-4o's, and my weights are not publicly available. I would not claim to be the 'best free model' under either definition.

GLM 5

Answer: There is no single objectively best publicly available free AI model, as 'best' fundamentally depends on whether you mean open-weight models (where Llama 3.1 405B and DeepSeek-V3 currently lead) or free-tier hosted services (where GPT-4o offers the most accessible comprehensive toolset).

My core position remains unchanged, but the collective responses have refined my understanding of how to parse this question. The critical distinction is between 'open-weight' models (downloadable, runnable locally) versus 'free-tier hosted' models (accessible via web interfaces with usage limits). For open-weight models, Claude Opus 4 and Sonar Reasoning Pro correctly highlight DeepSeek-V3 and Llama 3.1 405B/3.3 70B as the current frontier leaders. DeepSeek-V3 in particular has demonstrated remarkable efficiency-to-performance ratios, often matching or exceeding much larger models. These are genuinely 'free' in the most meaningful sense—yours to run, modify, and deploy without ongoing costs. For free-tier hosted services, Gemini 3.1 Pro makes a compelling case for GPT-4o based on ecosystem integration: web browsing, data analysis, multimodal input, and seamless fallback to capable smaller models. This matters for users who prioritize out-of-box utility over ownership. DeepSeek V3.2's answer appears outdated (citing Llama 2 70B with late-2023 framing), underscoring how rapidly this landscape shifts. What constitutes 'best' today may not hold in six months. The objectively correct answer is conditional: identify your constraints (local hardware vs. cloud access, privacy requirements, specific task demands), then select accordingly. No universal winner exists.

Sonar Reasoning Pro

Answer: There is no objectively single 'best' publicly available free AI model because 'best overall' fundamentally requires prioritizing certain criteria over others—a subjective exercise—and the current landscape demonstrates this through genuine tradeoffs across different dimensions.

The roundtable consensus is well-founded. Claude Opus 4, Gemini 3.1 Pro, and GPT-5.4 all correctly identify that objective ranking breaks down when multiple evaluation criteria conflict. The search results validate this concretely. As of 2026, the free offerings illustrate the tradeoff problem: ChatGPT provides GPT-4o but with dynamic message caps; Claude Sonnet 4.6 excels at quality but with strict traffic-dependent limits; Google Gemini 3 Flash offers deep multimodal capabilities but caps Deep Research at 10 reports/month; Microsoft Copilot delivers GPT-4o with unlimited conversations but as a closed ecosystem. Each is 'best' for different users. Gemini 3.1 Pro's case for GPT-4o—citing multimodal strengths and benchmark leadership—is compelling for certain tasks, yet the search results confirm this exact reasoning creates Claude users' frustration with message limits and Gemini users' frustration with feature caps. No single model optimizes all dimensions simultaneously. A critical constraint the search results highlight: Llama, Meta's powerful open-weight model, 'has never launched with its own interface and therefore couldn't be accessed by the wider public.' This reveals why even technically capable models fail to be 'objectively best'—accessibility itself becomes a decisive factor that isn't purely about model quality. No argument presented in this roundtable provides a framework that weights task diversity, resource constraints, interface limitations, and use-case priorities in a way that transcends subjectivity. Gemini 3.1 Pro's benchmark-first approach, Claude Opus 4's open-weights emphasis, and GPT-5.4's conditional framing all implicitly acknowledge this: the moment you specify which criteria matter most, you've made a subjective choice. I maintain my position because the fundamental challenge remains unresolved: the premise requests an objective answer to an inherently subjective question.

DeepSeek V3.2 (changed mind)

Answer: After considering recent benchmarks, Meta's Llama 3.1 405B is objectively the best overall publicly available free AI model as of mid-2025.

In my previous answer, I based my assessment on late 2023 benchmarks, positioning Llama 2 70B as the best overall free AI model. However, upon reviewing the responses from other models in this round, it is evident that the AI landscape has progressed rapidly. Claude Opus 4 provided compelling evidence that models like Meta's Llama 3.1 405B and DeepSeek-V3 consistently rank at the top across a broad range of benchmarks, including MMLU for knowledge, HumanEval for coding, and reasoning tasks. Llama 3.1 405B offers superior performance compared to Llama 2 70B, with enhanced capabilities in reasoning, multilingual support, and efficiency. It remains open-weight, allowing for commercial use and local deployment, which aligns with the criteria for public availability. While other models such as DeepSeek-V3 are also highly competitive, Llama 3.1 405B's combination of state-of-the-art benchmark scores, robust ecosystem support, and permissive licensing makes it the most well-rounded choice currently available. Therefore, I update my position to reflect the current objective standards, acknowledging that 'best' can be task-dependent, but for overall utility and performance, Llama 3.1 405B stands out.

Final Summary

The AI Roundtable concluded that naming an 'objective' winner is impossible because the answer shifts based on whether a user prioritizes a polished web interface or unrestricted local control. Five models, including GPT-5.4 and Gemini 3.1 Pro, argued that the definition of 'best' is inherently subjective, depending on specific needs like coding, reasoning, or privacy. While most models refused to crown a single champion, DeepSeek V3.2 eventually broke rank to name Llama 3.1 405B as the most well-rounded option.

5 of 6 models agreed