# Show HN: What's AI's go-to, public or private healthcare? > Source: > Published: 2026-07-23 14:06:08+00:00 # What's AI's go-to [public or private healthcare](https://www.modelbias.ai/prompt/public-or-private-healthcare)? 100 AI models, 100 simple questions, asked 3 times each. Explore all 30,000 answers. ## Explore by prompt ## Explore by model ## Public or private healthcare Choose exactly one option: Public healthcare or Private healthcare. Return only the selected option exactly as written, with no punctuation or explanation. ### Most common response Public Healthcare **83.3%** of the provider-balanced result. ### Response distribution 3 response categories### Result weighting of most common answer Each of the 17 model providers has equal influence, regardless of how many models they have in the dataset. | Model | Run 1 | Run 2 | Run 3 | |---|---|---|---| | | [DeepSeek V4 Pro](https://www.modelbias.ai/model/deepseek-deepseek-v4-pro)deepseek/deepseek-v4-pro [Gemini 3.1 Pro Preview](https://www.modelbias.ai/model/google-gemini-31-pro-preview)google/gemini-3.1-pro-preview [GLM 5.2](https://www.modelbias.ai/model/z-ai-glm-52)z-ai/glm-5.2 [GPT-5.6 Sol Pro](https://www.modelbias.ai/model/openai-gpt-56-sol-pro)openai/gpt-5.6-sol-pro [Grok 4.5](https://www.modelbias.ai/model/x-ai-grok-45)x-ai/grok-4.5 [Hy3](https://www.modelbias.ai/model/tencent-hy3)tencent/hy3 [Kimi K3](https://www.modelbias.ai/model/moonshotai-kimi-k3)moonshotai/kimi-k3 [Laguna XS 2.1](https://www.modelbias.ai/model/poolside-laguna-xs-21)poolside/laguna-xs-2.1 [Ling-2.6-flash](https://www.modelbias.ai/model/inclusionai-ling-26-flash)inclusionai/ling-2.6-flash [Llama 4 Maverick](https://www.modelbias.ai/model/meta-llama-llama-4-maverick)meta-llama/llama-4-maverick [MiMo-V2.5-Pro](https://www.modelbias.ai/model/xiaomi-mimo-v25-pro)xiaomi/mimo-v2.5-pro [MiniMax M3](https://www.modelbias.ai/model/minimax-minimax-m3)minimax/minimax-m3 [Mistral Small 4](https://www.modelbias.ai/model/mistralai-mistral-small-2603)mistralai/mistral-small-2603 [Nemotron 3 Ultra](https://www.modelbias.ai/model/nvidia-nemotron-3-ultra-550b-a55b)nvidia/nemotron-3-ultra-550b-a55b [Qwen3.7 Max](https://www.modelbias.ai/model/qwen-qwen37-max)qwen/qwen3.7-max [Step 3.7 Flash](https://www.modelbias.ai/model/stepfun-step-37-flash)stepfun/step-3.7-flash [Claude Haiku 4.5](https://www.modelbias.ai/model/anthropic-claude-haiku-45)anthropic/claude-haiku-4.5 [Claude Opus 4.5](https://www.modelbias.ai/model/anthropic-claude-opus-45)anthropic/claude-opus-4.5 [Claude Opus 4.6](https://www.modelbias.ai/model/anthropic-claude-opus-46)anthropic/claude-opus-4.6 [Claude Opus 4.7](https://www.modelbias.ai/model/anthropic-claude-opus-47)anthropic/claude-opus-4.7 [Claude Opus 4.8](https://www.modelbias.ai/model/anthropic-claude-opus-48)anthropic/claude-opus-4.8 [Claude Opus 4.8 (Fast)](https://www.modelbias.ai/model/anthropic-claude-opus-48-fast)anthropic/claude-opus-4.8-fast [Claude Sonnet 4](https://www.modelbias.ai/model/anthropic-claude-sonnet-4)anthropic/claude-sonnet-4 [Claude Sonnet 4.5](https://www.modelbias.ai/model/anthropic-claude-sonnet-45)anthropic/claude-sonnet-4.5 [Claude Sonnet 4.6](https://www.modelbias.ai/model/anthropic-claude-sonnet-46)anthropic/claude-sonnet-4.6 [Claude Sonnet 5](https://www.modelbias.ai/model/anthropic-claude-sonnet-5)anthropic/claude-sonnet-5 [DeepSeek V3](https://www.modelbias.ai/model/deepseek-deepseek-chat)deepseek/deepseek-chat [DeepSeek V3 0324](https://www.modelbias.ai/model/deepseek-deepseek-chat-v3-0324)deepseek/deepseek-chat-v3-0324 [DeepSeek V3.1](https://www.modelbias.ai/model/deepseek-deepseek-chat-v31)deepseek/deepseek-chat-v3.1 [DeepSeek V3.1 Terminus](https://www.modelbias.ai/model/deepseek-deepseek-v31-terminus)deepseek/deepseek-v3.1-terminus [DeepSeek V3.2](https://www.modelbias.ai/model/deepseek-deepseek-v32)deepseek/deepseek-v3.2 [DeepSeek V3.2 Exp](https://www.modelbias.ai/model/deepseek-deepseek-v32-exp)deepseek/deepseek-v3.2-exp [DeepSeek V4 Flash](https://www.modelbias.ai/model/deepseek-deepseek-v4-flash)deepseek/deepseek-v4-flash [Gemini 2.5 Flash](https://www.modelbias.ai/model/google-gemini-25-flash)google/gemini-2.5-flash [Gemini 2.5 Flash Lite](https://www.modelbias.ai/model/google-gemini-25-flash-lite)google/gemini-2.5-flash-lite [Gemini 2.5 Pro](https://www.modelbias.ai/model/google-gemini-25-pro)google/gemini-2.5-pro [Gemini 3 Flash Preview](https://www.modelbias.ai/model/google-gemini-3-flash-preview)google/gemini-3-flash-preview [Gemini 3.1 Flash Lite](https://www.modelbias.ai/model/google-gemini-31-flash-lite)google/gemini-3.1-flash-lite [Gemini 3.1 Flash Lite Preview](https://www.modelbias.ai/model/google-gemini-31-flash-lite-preview)google/gemini-3.1-flash-lite-preview [Gemini 3.5 Flash](https://www.modelbias.ai/model/google-gemini-35-flash)google/gemini-3.5-flash [Gemma 3 27B](https://www.modelbias.ai/model/google-gemma-3-27b-it)google/gemma-3-27b-it [Gemma 4 26B A4B](https://www.modelbias.ai/model/google-gemma-4-26b-a4b-it)google/gemma-4-26b-a4b-it [Gemma 4 31B](https://www.modelbias.ai/model/google-gemma-4-31b-it)google/gemma-4-31b-it [GLM 4.7](https://www.modelbias.ai/model/z-ai-glm-47)z-ai/glm-4.7 [GLM 4.7 Flash](https://www.modelbias.ai/model/z-ai-glm-47-flash)z-ai/glm-4.7-flash [GLM 5](https://www.modelbias.ai/model/z-ai-glm-5)z-ai/glm-5 [GLM 5.1](https://www.modelbias.ai/model/z-ai-glm-51)z-ai/glm-5.1 [GPT-4.1](https://www.modelbias.ai/model/openai-gpt-41)openai/gpt-4.1 [GPT-4.1 Mini](https://www.modelbias.ai/model/openai-gpt-41-mini)openai/gpt-4.1-mini [GPT-4.1 Nano](https://www.modelbias.ai/model/openai-gpt-41-nano)openai/gpt-4.1-nano [GPT-4o-mini](https://www.modelbias.ai/model/openai-gpt-4o-mini)openai/gpt-4o-mini [GPT-5](https://www.modelbias.ai/model/openai-gpt-5)openai/gpt-5 [GPT-5 Mini](https://www.modelbias.ai/model/openai-gpt-5-mini)openai/gpt-5-mini [GPT-5 Nano](https://www.modelbias.ai/model/openai-gpt-5-nano)openai/gpt-5-nano [GPT-5.1](https://www.modelbias.ai/model/openai-gpt-51)openai/gpt-5.1 [GPT-5.2](https://www.modelbias.ai/model/openai-gpt-52)openai/gpt-5.2 [GPT-5.3-Codex](https://www.modelbias.ai/model/openai-gpt-53-codex)openai/gpt-5.3-codex [GPT-5.4](https://www.modelbias.ai/model/openai-gpt-54)openai/gpt-5.4 [GPT-5.4 Mini](https://www.modelbias.ai/model/openai-gpt-54-mini)openai/gpt-5.4-mini [GPT-5.4 Nano](https://www.modelbias.ai/model/openai-gpt-54-nano)openai/gpt-5.4-nano [GPT-5.5](https://www.modelbias.ai/model/openai-gpt-55)openai/gpt-5.5 [GPT-5.6 Luna](https://www.modelbias.ai/model/openai-gpt-56-luna)openai/gpt-5.6-luna [GPT-5.6 Luna Pro](https://www.modelbias.ai/model/openai-gpt-56-luna-pro)openai/gpt-5.6-luna-pro [GPT-5.6 Sol](https://www.modelbias.ai/model/openai-gpt-56-sol)openai/gpt-5.6-sol [GPT-5.6 Terra](https://www.modelbias.ai/model/openai-gpt-56-terra)openai/gpt-5.6-terra [GPT-5.6 Terra Pro](https://www.modelbias.ai/model/openai-gpt-56-terra-pro)openai/gpt-5.6-terra-pro [gpt-oss-120b](https://www.modelbias.ai/model/openai-gpt-oss-120b)openai/gpt-oss-120b [gpt-oss-20b](https://www.modelbias.ai/model/openai-gpt-oss-20b)openai/gpt-oss-20b [Grok 4.20](https://www.modelbias.ai/model/x-ai-grok-420)x-ai/grok-4.20 [Grok 4.3](https://www.modelbias.ai/model/x-ai-grok-43)x-ai/grok-4.3 [Hy3 preview](https://www.modelbias.ai/model/tencent-hy3-preview)tencent/hy3-preview [Kimi K2.5](https://www.modelbias.ai/model/moonshotai-kimi-k25)moonshotai/kimi-k2.5 [Kimi K2.6](https://www.modelbias.ai/model/moonshotai-kimi-k26)moonshotai/kimi-k2.6 [Kimi K2.7 Code](https://www.modelbias.ai/model/moonshotai-kimi-k27-code)moonshotai/kimi-k2.7-code [Llama 3.1 8B Instruct](https://www.modelbias.ai/model/meta-llama-llama-31-8b-instruct)meta-llama/llama-3.1-8b-instruct [Llama 3.3 70B Instruct](https://www.modelbias.ai/model/meta-llama-llama-33-70b-instruct)meta-llama/llama-3.3-70b-instruct [MiMo-V2.5](https://www.modelbias.ai/model/xiaomi-mimo-v25)xiaomi/mimo-v2.5 [MiniMax M2.5](https://www.modelbias.ai/model/minimax-minimax-m25)minimax/minimax-m2.5 [MiniMax M2.7](https://www.modelbias.ai/model/minimax-minimax-m27)minimax/minimax-m2.7 [Mistral Nemo](https://www.modelbias.ai/model/mistralai-mistral-nemo)mistralai/mistral-nemo [Mistral Small 3.2 24B](https://www.modelbias.ai/model/mistralai-mistral-small-32-24b-instruct)mistralai/mistral-small-3.2-24b-instruct [Nemotron 3 Nano 30B A3B](https://www.modelbias.ai/model/nvidia-nemotron-3-nano-30b-a3b)nvidia/nemotron-3-nano-30b-a3b [Nemotron 3 Super](https://www.modelbias.ai/model/nvidia-nemotron-3-super-120b-a12b)nvidia/nemotron-3-super-120b-a12b [o4 Mini](https://www.modelbias.ai/model/openai-o4-mini)openai/o4-mini [Qwen3 235B A22B Instruct 2507](https://www.modelbias.ai/model/qwen-qwen3-235b-a22b-2507)qwen/qwen3-235b-a22b-2507 [Qwen3 30B A3B Instruct 2507](https://www.modelbias.ai/model/qwen-qwen3-30b-a3b-instruct-2507)qwen/qwen3-30b-a3b-instruct-2507 [Qwen3 Coder Next](https://www.modelbias.ai/model/qwen-qwen3-coder-next)qwen/qwen3-coder-next [Qwen3 Next 80B A3B Instruct](https://www.modelbias.ai/model/qwen-qwen3-next-80b-a3b-instruct)qwen/qwen3-next-80b-a3b-instruct [Qwen3.5 397B A17B](https://www.modelbias.ai/model/qwen-qwen35-397b-a17b)qwen/qwen3.5-397b-a17b [Qwen3.5-122B-A10B](https://www.modelbias.ai/model/qwen-qwen35-122b-a10b)qwen/qwen3.5-122b-a10b [Qwen3.5-27B](https://www.modelbias.ai/model/qwen-qwen35-27b)qwen/qwen3.5-27b [Qwen3.5-35B-A3B](https://www.modelbias.ai/model/qwen-qwen35-35b-a3b)qwen/qwen3.5-35b-a3b [Qwen3.5-9B](https://www.modelbias.ai/model/qwen-qwen35-9b)qwen/qwen3.5-9b [Qwen3.5-Flash](https://www.modelbias.ai/model/qwen-qwen35-flash-02-23)qwen/qwen3.5-flash-02-23 [Qwen3.6 27B](https://www.modelbias.ai/model/qwen-qwen36-27b)qwen/qwen3.6-27b [Qwen3.6 35B A3B](https://www.modelbias.ai/model/qwen-qwen36-35b-a3b)qwen/qwen3.6-35b-a3b [Qwen3.6 Flash](https://www.modelbias.ai/model/qwen-qwen36-flash)qwen/qwen3.6-flash [Qwen3.6 Plus](https://www.modelbias.ai/model/qwen-qwen36-plus)qwen/qwen3.6-plus [Qwen3.7 Plus](https://www.modelbias.ai/model/qwen-qwen37-plus)qwen/qwen3.7-plus Dataset last updated July 18, 2026. ## About ModelBias.ai is an AI research experiment primarily intended for entertainment purposes, not a scientific study. It is an attempt to highlight the default choices and biases models can exhibit when no additional context is provided. ## Methodology Every prompt was run independently, with no additional context, through the [OpenRouter API](https://openrouter.ai/docs/api-reference/overview). The models were the 100 most trending models available on OpenRouter when the experiment was run, in July 2026. Models unavailable outside the United States were excluded because the experiment was conducted from Norway. Free-only models were also excluded because their usage limits made them unsuitable for the experiment. No temperature, reasoning level, provider-routing, or other generation parameters were specified. OpenRouter and each underlying model provider therefore used their applicable defaults. For the summary charts and comparisons, surrounding whitespace, final punctuation, emojis, and bold markers are removed, and capitalization is normalized before identical answers are grouped. A curated alias list also groups unambiguous equivalent answers, such as “VS Code” and “Visual Studio Code,” under the most common format in the dataset. The downloadable dataset preserves every model's original output. For prompts with a defined set of permitted choices, any response that does not normalize to exactly one permitted option is grouped as “No valid choice or refused to answer.” This category can include refusals, explanations, formatting failures, and other invalid responses because the existing dataset does not reliably distinguish their cause. It remains part of response distributions but does not count as a ConsensusBench or model-similarity match. Open-ended prompts are not classified this way. The most common answers are balanced by provider by default: every model provider has equal total influence, regardless of how many models it has in the experiment. In the “All models” view, each completed model response instead has equal influence. Tied answers are shown jointly. ## Tech Stack This project was built with Codex using GPT-5.6 Sol. Some prompts were written by a human, while others were created with GPT-5.6 Sol. The backend is built in PHP using the [Laravel framework](https://laravel.com/). Prompts were run with the Laravel queue system. ## Download the data The complete dataset is free to download and use in your own project or research. [View and download the dataset on GitHub](https://github.com/tormundgerhardsen/modelbias-ai-datasets)