# model

id: bidara
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: NASA: BIDARA
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access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 114524 characters]", "description": "BIDARA (Bio\u2011Inspired Designer and Research Assistant) is a GPT\u20114\u2011based AI developed by NASA to guide scientists and engineers in biomimicry. It helps users learn from nature by following the Biomimicry Institute\u2019s design process: defining problems, biologizing challenges, discovering natural models, abstracting strategies, and emulating nature\u2019s solutions. It integrates retrieval\u2011augmented generation and reasoning to ensure accurate, structured, and sustainable bio\u2011inspired design guidance.", "capabilities": {"vision": true, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": false}, "hidden": false, "tags": [{"name": "Pollinations.AI"}]}


id: deepseek-reasoning
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: DeepSeek: R1-0528
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 18104 characters]", "description": "DeepSeek R1 (0528) is the latest iteration of DeepSeek\u2019s R1 model released on May 28, 2025. It delivers sharper and deeper reasoning in math coding and logic thanks to enhanced compute and post\u2011training optimizations. Accuracy notably jumped for example in the AIME benchmark from about 70\u202fpercent to 87.5\u202fpercent by doubling token reasoning depth. It also reduces hallucinations and adds support for structured JSON output and function calling. Its performance now rivals top proprietary models such as OpenAI o3 and Gemini 2.5 Pro.", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": false}, "tags": [{"name": "Pollinations.AI"}], "suggestion_prompts": null}

params:
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id: grok
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: xAI: Grok 3 Mini
params: {"custom_params": {"private": "true", "referrer": "umint-ai.hf.space"}, "stream_response": true}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 14604 characters]", "description": "Grok\u202f3\u202fMini is a compact reasoning model from xAI that offers fast responses while maintaining solid logic capabilities. It is optimized for logic\u2011based tasks and context\u2011aware problem solving rather than deep domain knowledge. Despite its lightweight design it supports advanced reasoning through reinforcement learning allowing it to backtrack and explore solutions. It achieves strong benchmark performance on STEM tasks and is ideal for scenarios where speed and efficient reasoning matter. ", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": false}, "hidden": false, "tags": [{"name": "Pollinations.AI"}]}


id: mistral
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: Mistral: Mistral Small 3.1 - 24B
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access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 15912 characters]", "description": "Mistral Small\u202f3.1 (24B) is an open\u2011source language model with 24\u202fbillion parameters built by Mistral\u202fAI. It excels in multimodal understanding supporting both text and image inputs and processes up to a 128k\u2011token context window. The model delivers state\u2011of\u2011the\u2011art performance across instruction following, multilingual reasoning, and long\u2011document comprehension while enabling fast, low\u2011latency inference under an Apache\u202f2.0 license.", "capabilities": {"vision": true, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": false}, "hidden": false, "tags": [{"name": "Pollinations.AI"}]}


id: openai
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: OpenAI: GPT-4.1 Nano
params: {"custom_params": {"private": "true", "referrer": "umint-ai.hf.space"}, "stream_response": true}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 80664 characters]", "description": "GPT\u20114.1\u202fNano is OpenAI\u2019s smallest and fastest model in the GPT\u20114.1 family, launched on April\u202f14,\u202f2025\u202fwith knowledge cutoff in June\u202f2024. It supports a 1\u202fmillion\u2011token context window and handles text and image inputs. This model excels at lightweight high\u2011frequency tasks such as autocompletion classification and extracting information from large documents while delivering strong benchmark performance like an 80.1% MMLU score and 50.3% GPQA score. It is highly cost\u2011efficient at only ten cents per million input tokens and forty cents per million output tokens. GPT\u20114.1\u202fNano offers exceptional efficiency reduced latency and real\u2011world utility especially for scale\u2011focused applications.", "capabilities": {"vision": true, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": true}, "tags": [{"name": "Pollinations.AI"}], "suggestion_prompts": null}


id: openai-large
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: OpenAI: GPT-4.1
params: {"custom_params": {"private": "true", "referrer": "umint-ai.hf.space"}, "stream_response": true}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 80096 characters]", "description": "GPT\u20114.1 is OpenAI\u2019s flagship general-purpose model, launched on April 14, 2025, via API alongside the Mini and Nano variants. It offers a massive 1 million\u2011token context window, far surpassing GPT\u20114o\u2019s 128k limit. GPT\u20114.1 is multimodal, handling both text and images, with a knowledge cutoff in June 2024.", "capabilities": {"vision": true, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": false}, "tags": [{"name": "Pollinations.AI"}], "suggestion_prompts": null, "hidden": false}


id: qwen-coder
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: Qwen: Qwen 2.5 Coder - 32B
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 60968 characters]", "description": "Qwen 2.5 Coder 32B is an advanced open\u2011source code\u2011specific large language model developed by Alibaba\u2019s Qwen team. It features 32\u202fbillion parameters and has been pretrained on over 5.5\u202ftrillion tokens including source code and text\u2011code grounding. It achieves state\u2011of\u2011the\u2011art performance in code generation reasoning and repair matching GPT\u20114o and supports long\u2011context inputs up to 128\u202f000 tokens. This model excels across more than 40 programming languages and is well\u2011suited for real\u2011world coding applications such as code agents and fixers.", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": false}, "hidden": false, "tags": [{"name": "Pollinations.AI"}]}

params:
  {"stream_response": true, "temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "custom_params": {"private": "true", "referrer": "umint-ai.hf.space"}}


id: deepseek-v3-0324
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: DeepSeek: V3 (0324)
params: {"stream_response": true}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 18104 characters]", "description": "DeepSeek V3\u20110324 is an open\u2011source, mixture\u2011of\u2011experts large\u2011language model optimized for advanced reasoning, front\u2011end coding, and structured tasks. Released on March 24, 2025 under the MIT license, it improves significantly over the original V3 in benchmark scores (e.g. MMLU\u2011Pro, GPQA, LiveCodeBench) and excels in code generation and tool\u2011use capabilities.", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": false}, "suggestion_prompts": null, "tags": [{"name": "UltimaX Intelligence"}]}


