# model

id: o3-mini
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: OpenAI: o3 Mini
params: {"stream_response": true}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 139596 characters]", "description": "OpenAI\u202fo3\u2011mini is a lightweight multimodal reasoning model that supports both text and image inputs. It delivers fast, accurate performance in coding math and science tasks using internal chain\u2011of\u2011thought processing and offers adjustable reasoning effort levels low medium or high for optimal speed and precision.", "capabilities": {"vision": true, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true}, "suggestion_prompts": null, "tags": [{"name": "Limited"}]}


id: o4-mini
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: OpenAI: o4 Mini
params: {"stream_response": true}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 91048 characters]", "description": "OpenAI o4-mini is a compact multimodal reasoning model released by OpenAI on April\u202f16,\u202f2025. It processes both text and image inputs and applies internal chain\u2011of\u2011thought reasoning to excel at math coding science and common real\u2011world tasks. This model outperforms its predecessor o3\u2011mini in accuracy while offering faster responses and lower operational cost. It also integrates seamlessly with ChatGPT tools including browsing code execution file analysis and image generation.", "capabilities": {"vision": true, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true}, "suggestion_prompts": null, "tags": [{"name": "Limited"}]}


id: glm-4.5-air
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: Z.ai: GLM 4.5-Air
params: {"stream_response": true}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 16252 characters]", "description": "GLM-4.5-Air is a streamlined Mixture of Experts AI model with 106 billion total parameters and 12 billion active parameters, designed for cost-effective, high-performance reasoning, coding, and agent-oriented tasks. It supports a 128K token context window and is optimized for efficient inference to balance speed and scalability in real-world applications.", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true}, "suggestion_prompts": null, "tags": [{"name": "UltimaX Intelligence"}]}


