| [ | |
| { | |
| "id": 1, | |
| "model": "Qwen-3.5-4B", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 10.0, | |
| "size_unit": "GB", | |
| "minimum_RAM": 16, | |
| "RAM_unit": "GB", | |
| "good_at": "Complex, multi-step logical reasoning and math.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 2, | |
| "model": "Qwen3-VL-4B-Instruct", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 9.0, | |
| "size_unit": "GB", | |
| "minimum_RAM": 16, | |
| "RAM_unit": "GB", | |
| "good_at": "Understanding images with OCR and visualization.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 3, | |
| "model": "Qwen2.5-Coder-3B-Instruct", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 7.0, | |
| "size_unit": "GB", | |
| "minimum_RAM": 12, | |
| "RAM_unit": "GB", | |
| "good_at": "Complex coding and math.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 4, | |
| "model": "Qwen-3-VL-2B-Instruct", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 5.0, | |
| "size_unit": "GB", | |
| "minimum_RAM": 8, | |
| "RAM_unit": "GB", | |
| "good_at": "Understanding images and detection text also good at captioning and reasoning.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 5, | |
| "model": "Qwen-2.5-0.5B-Instruct", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 1.1, | |
| "size_unit": "GB", | |
| "minimum_RAM": 4, | |
| "RAM_unit": "GB", | |
| "good_at": "Efficient for everyday chat and tasks with blazing fast response.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 6, | |
| "model": "Phi-3.5-mini-instruct", | |
| "company": "microsoft", | |
| "image_of_model": "ai-images/phi.png", | |
| "images_of_company": "company-images/microsoft.png", | |
| "size": 8.0, | |
| "size_unit": "GB", | |
| "minimum_RAM": 16, | |
| "RAM_unit": "GB", | |
| "good_at": "Multi-reasoning and long context coding.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 7, | |
| "model": "DeepSeek-OCR-2", | |
| "company": "deepseek-ai", | |
| "image_of_model": "ai-images/deepseek.png", | |
| "images_of_company": "company-images/deepseek.png", | |
| "size": 7.0, | |
| "size_unit": "GB", | |
| "minimum_RAM": 12, | |
| "RAM_unit": "GB", | |
| "good_at": "Very powerful at understanding and editing high structure documents and reasoning.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 8, | |
| "model": "Qwen1.5-0.5B", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 1.3, | |
| "size_unit": "GB", | |
| "minimum_RAM": 4, | |
| "RAM_unit": "GB", | |
| "good_at": "Simple basic daily chats.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 9, | |
| "model": "Qwen2-VL-2B-Instruct", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 4.5, | |
| "size_unit": "GB", | |
| "minimum_RAM": 8, | |
| "RAM_unit": "GB", | |
| "good_at": "Best at fast image understanding, reasoning and math.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 10, | |
| "model": "Qwen2.5-VL-7B-Instruct", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 17, | |
| "size_unit": "GB", | |
| "minimum_RAM": 24, | |
| "RAM_unit": "GB", | |
| "good_at": "Best at comples image understanding and complex captioning plus math expert.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 11, | |
| "model": "Qwen3.5-2B", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 5, | |
| "size_unit": "GB", | |
| "minimum_RAM": 8, | |
| "RAM_unit": "GB", | |
| "good_at": "Complex coding and agentic tasks.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 12, | |
| "model": "Qwen2.5-Coder-0.5B-Instruct-4bit", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 300, | |
| "size_unit": "MB", | |
| "minimum_RAM": 2, | |
| "RAM_unit": "GB", | |
| "good_at": "Complex coding and agentic tasks.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 13, | |
| "model": "Qwen2.5-0.5B-Instruct-4bit", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 480, | |
| "size_unit": "MB", | |
| "minimum_RAM": 2, | |
| "RAM_unit": "GB", | |
| "good_at": "Daily basic coding, tasks and agentic tasks.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 14, | |
| "model": "Qwen3.5-2B-4bit", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 2.3, | |
| "size_unit": "GB", | |
| "minimum_RAM": 4, | |
| "RAM_unit": "GB", | |
| "good_at": "Complex reasoning, basic coding, math and agentic tasks.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 15, | |
| "model": "FLUX.1-schnell-4bit", | |
| "company": "black forest labs", | |
| "image_of_model": "ai-images/flux.png", | |
| "images_of_company": "company-images/black-forest-labs.png", | |
| "size": 9.7, | |
| "size_unit": "GB", | |
| "minimum_RAM": 16, | |
| "RAM_unit": "GB", | |
| "good_at": "Can generate basic images and understand basic images.", | |
| "type": "Image-generator" | |
| }, | |
| { | |
| "id": 16, | |
| "model": "Qwen-3.6-35B-A3B-4bit", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 20.5, | |
| "size_unit": "GB", | |
| "minimum_RAM": 32, | |
| "RAM_unit": "GB", | |
| "good_at": "Complex math, reasoning, coding and better image understanding.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 17, | |
| "model": "Wan2.1-T2V-1.3B", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 17.7, | |
| "size_unit": "GB", | |
| "minimum_RAM": 24, | |
| "RAM_unit": "GB", | |
| "good_at": "Generate basic videos from text prompt and also with image prompt.", | |
| "type": "Video-generator" | |
| }, | |
| { | |
| "id": 18, | |
| "model": "gemma-4-E2B-it-qat-w4a16-ct", | |
| "company": "google", | |
| "image_of_model": "ai-images/gemma.png", | |
| "images_of_company": "company-images/google.png", | |
| "size": 8.4, | |
| "size_unit": "GB", | |
| "minimum_RAM": 12, | |
| "RAM_unit": "GB", | |
| "good_at": "Heavy and complex image understanding with mixture of complex math solving and reasoning.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 19, | |
| "model": "Qwen3-VL-32B-Thinking-4bit", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 22, | |
| "size_unit": "GB", | |
| "minimum_RAM": 32, | |
| "RAM_unit": "GB", | |
| "good_at": "Heavy and complex image understanding with mixture of complex math solving and reasoning with agentic thinking mode to solve complex tasks.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 20, | |
| "model": "gemma-4-26B-A4B-it", | |
| "company": "google", | |
| "image_of_model": "ai-images/gemma.png", | |
| "images_of_company": "company-images/google.png", | |
| "size": 52, | |
| "size_unit": "GB", | |
| "minimum_RAM": 64, | |
| "RAM_unit": "GB", | |
| "good_at": "Heavy and complex image understanding with mixture of complex math solving and reasoning.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 21, | |
| "model": "gemma-3-4b-it-4bit", | |
| "company": "google", | |
| "image_of_model": "ai-images/gemma.png", | |
| "images_of_company": "company-images/google.png", | |
| "size": 3.5, | |
| "size_unit": "GB", | |
| "minimum_RAM": 6, | |
| "RAM_unit": "GB", | |
| "good_at": "Normal and complex image understanding, math solving and reasoning.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 22, | |
| "model": "gemma-2-2b-it-4bit", | |
| "company": "google", | |
| "image_of_model": "ai-images/gemma.png", | |
| "images_of_company": "company-images/google.png", | |
| "size": 2.3, | |
| "size_unit": "GB", | |
| "minimum_RAM": 4, | |
| "RAM_unit": "GB", | |
| "good_at": "Flash math solving and reasoning.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 23, | |
| "model": "Phi-4-mini-instruct", | |
| "company": "microsoft", | |
| "image_of_model": "ai-images/phi.png", | |
| "images_of_company": "company-images/microsoft.png", | |
| "size": 7.7, | |
| "size_unit": "GB", | |
| "minimum_RAM": 12, | |
| "RAM_unit": "GB", | |
| "good_at": "Multi-reasoning and long context coding with prompt understanding.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 24, | |
| "model": "deepseek-r1-distill-1.5b", | |
| "company": "deepseek-ai", | |
| "image_of_model": "ai-images/deepseek.png", | |
| "images_of_company": "company-images/deepseek-ai.png", | |
| "size": 7.7, | |
| "size_unit": "GB", | |
| "minimum_RAM": 12, | |
| "RAM_unit": "GB", | |
| "good_at": "Multi-reasoning and coding with prompt understanding.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 25, | |
| "model": "grok-2", | |
| "company": "xai", | |
| "image_of_model": "ai-images/grok.png", | |
| "images_of_company": "company-images/xai.png", | |
| "size": 540, | |
| "size_unit": "GB", | |
| "minimum_RAM": 600, | |
| "RAM_unit": "GB", | |
| "good_at": "Multi-reasoning and long context coding with prompt understanding.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 26, | |
| "model": "Kimi-K3", | |
| "company": "moonshot-ai", | |
| "image_of_model": "ai-images/kimi.png", | |
| "images_of_company": "company-images/moonshot-ai.png", | |
| "size": 1.6, | |
| "size_unit": "TB", | |
| "minimum_RAM": 2, | |
| "RAM_unit": "TB", | |
| "good_at": "Multi-reasoning and long context coding with prompt understanding and expert at math.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 27, | |
| "model": "grok-1", | |
| "company": "xai", | |
| "image_of_model": "ai-images/grok.png", | |
| "images_of_company": "company-images/xai.png", | |
| "size": 320, | |
| "size_unit": "GB", | |
| "minimum_RAM": 400, | |
| "RAM_unit": "GB", | |
| "good_at": "Reasoning, prompt understanding and coding.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 28, | |
| "model": "Baidu-Unlimited-OCR", | |
| "company": "baidu", | |
| "image_of_model": "ai-images/baidu.png", | |
| "images_of_company": "company-images/baidu.png", | |
| "size": 7, | |
| "size_unit": "GB", | |
| "minimum_RAM": 12, | |
| "RAM_unit": "GB", | |
| "good_at": "Reasoning and long context coding with image understanding.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 29, | |
| "model": "GLM-5.2", | |
| "company": "zai", | |
| "image_of_model": "ai-images/glm.png", | |
| "images_of_company": "company-images/zai.png", | |
| "size": 1.65, | |
| "size_unit": "TB", | |
| "minimum_RAM": 2, | |
| "RAM_unit": "TB", | |
| "good_at": "Multi-reasoning and long context coding with prompt understanding plus math solving.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 30, | |
| "model": "gpt-oss-20b", | |
| "company": "openai", | |
| "image_of_model": "ai-images/gpt.png", | |
| "images_of_company": "company-images/openai.png", | |
| "size": 44, | |
| "size_unit": "GB", | |
| "minimum_RAM": 64, | |
| "RAM_unit": "GB", | |
| "good_at": "Reasoning and coding, prompt understanding and math solving.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 31, | |
| "model": "Qwen3.6-27B", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 57, | |
| "size_unit": "GB", | |
| "minimum_RAM": 64, | |
| "RAM_unit": "GB", | |
| "good_at": "Reasoning, multitasking and long context coding with prompt understanding and image understanding.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 32, | |
| "model": "Phi-3-mini-4k-instruct", | |
| "company": "microsoft", | |
| "image_of_model": "ai-images/phi.png", | |
| "images_of_company": "company-images/microsoft.png", | |
| "size": 8, | |
| "size_unit": "GB", | |
| "minimum_RAM": 12, | |
| "RAM_unit": "GB", | |
| "good_at": "Multi-reasoning and long context coding with prompt understanding.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 33, | |
| "model": "Kimi-K2.7-Coder", | |
| "company": "moonshot-ai", | |
| "image_of_model": "ai-images/kimi.png", | |
| "images_of_company": "company-images/moonshot-ai.png", | |
| "size": 600, | |
| "size_unit": "GB", | |
| "minimum_RAM": 700, | |
| "RAM_unit": "GB", | |
| "good_at": "Multi-reasoning and long context coding with prompt understanding and expert at math and vision power.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 34, | |
| "model": "Kimi-K2", | |
| "company": "moonshot-ai", | |
| "image_of_model": "ai-images/kimi.png", | |
| "images_of_company": "company-images/moonshot-ai.png", | |
| "size": 600, | |
| "size_unit": "GB", | |
| "minimum_RAM": 700, | |
| "RAM_unit": "GB", | |
| "good_at": "Multi-reasoning and long context coding with prompt understanding and expert at math and vision power.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 35, | |
| "model": "DeepSeek-V4-Pro-DSpark", | |
| "company": "deepseek-ai", | |
| "image_of_model": "ai-images/deepseek.png", | |
| "images_of_company": "company-images/deepseek-ai.png", | |
| "size": 900, | |
| "size_unit": "GB", | |
| "minimum_RAM": 1, | |
| "RAM_unit": "TB", | |
| "good_at": "Reasoning and coding with prompt understanding.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 36, | |
| "model": "Qwen-Image", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 58, | |
| "size_unit": "GB", | |
| "minimum_RAM": 64, | |
| "RAM_unit": "GB", | |
| "good_at": "Image generation with prompt understanding.", | |
| "type": "Image-generator" | |
| }, | |
| { | |
| "id": 37, | |
| "model": "Qwen3-8B", | |
| "company": "alibaba.com", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 17, | |
| "size_unit": "GB", | |
| "minimum_RAM": 24, | |
| "RAM_unit": "GB", | |
| "good_at": "Reasoning and coding with prompt understanding.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 38, | |
| "model": "stable-diffusion-xl-base-1.0", | |
| "company": "stability.ai", | |
| "image_of_model": "ai-images/stable.png", | |
| "images_of_company": "company-images/stability.png", | |
| "size": 77, | |
| "size_unit": "GB", | |
| "minimum_RAM": 100, | |
| "RAM_unit": "GB", | |
| "good_at": "Better pixels image generation with vision.", | |
| "type": "Image-generator" | |
| }, | |
| { | |
| "id": 39, | |
| "model": "Mistral-7B-Instruct-v0.3", | |
| "company": "mistral-ai", | |
| "image_of_model": "ai-images/mistral.png", | |
| "images_of_company": "company-images/mistral-ai.png", | |
| "size": 30, | |
| "size_unit": "GB", | |
| "minimum_RAM": 64, | |
| "RAM_unit": "GB", | |
| "good_at": "Reasoning, coding, math solving and image vision.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 40, | |
| "model": "Leanstral-1.5-119B-A6B", | |
| "company": "mistral-ai", | |
| "image_of_model": "ai-images/mistral.png", | |
| "images_of_company": "company-images/mistral-ai.png", | |
| "size": 122, | |
| "size_unit": "GB", | |
| "minimum_RAM": 128, | |
| "RAM_unit": "GB", | |
| "good_at": "Reasoning and coding with image understanding and mixture of experts.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 41, | |
| "model": "FLUX.2-small-decoder", | |
| "company": "Black Forest Labs", | |
| "image_of_model": "ai-images/flux.png", | |
| "images_of_company": "company-images/black-forest-labs.png", | |
| "size": 62.4, | |
| "size_unit": "MB", | |
| "minimum_RAM": 8, | |
| "RAM_unit": "GB", | |
| "good_at": "Image-to-Image generation and transformation.", | |
| "type": "Image-generator" | |
| }, | |
| { | |
| "id": 42, | |
| "model": "Qwen3-4B-GGUF", | |
| "company": "Alibaba Group", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 4.0, | |
| "size_unit": "GB", | |
| "minimum_RAM": 8, | |
| "RAM_unit": "GB", | |
| "good_at": "Text generation and reasoning tasks.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 43, | |
| "model": "Qwen3.5-122B-A10B", | |
| "company": "Alibaba Group", | |
| "image_of_model": "ai-images/qwen.png", | |
| "images_of_company": "company-images/alibaba.png", | |
| "size": 125.0, | |
| "size_unit": "GB", | |
| "minimum_RAM": 128, | |
| "RAM_unit": "GB", | |
| "good_at": "Image-Text-to-Text with advanced reasoning and multimodal understanding.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 44, | |
| "model": "SCAIL-2", | |
| "company": "SwinliQ-AIs", | |
| "image_of_model": "ai-images/scail.png", | |
| "images_of_company": "company-images/swinliq.png", | |
| "size": 15.0, | |
| "size_unit": "GB", | |
| "minimum_RAM": 24, | |
| "RAM_unit": "GB", | |
| "good_at": "Image-to-Video generation from static images.", | |
| "type": "Video-generator" | |
| }, | |
| { | |
| "id": 45, | |
| "model": "diffusiongemma-26B-A4B-it", | |
| "company": "Google", | |
| "image_of_model": "ai-images/gemma.png", | |
| "images_of_company": "company-images/google.png", | |
| "size": 26.0, | |
| "size_unit": "GB", | |
| "minimum_RAM": 32, | |
| "RAM_unit": "GB", | |
| "good_at": "Image-Text-to-Text with diffusion-based multimodal understanding.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 46, | |
| "model": "gemma-4-E4B-it", | |
| "company": "Google", | |
| "image_of_model": "ai-images/gemma.png", | |
| "images_of_company": "company-images/google.png", | |
| "size": 8.0, | |
| "size_unit": "GB", | |
| "minimum_RAM": 16, | |
| "RAM_unit": "GB", | |
| "good_at": "Any-to-Any multimodal tasks with versatile understanding.", | |
| "type": "VLM" | |
| }, | |
| { | |
| "id": 47, | |
| "model": "DeepSeek-V4-Flash", | |
| "company": "DeepSeek", | |
| "image_of_model": "ai-images/deepseek.png", | |
| "images_of_company": "company-images/deepseek.png", | |
| "size": 291.0, | |
| "size_unit": "GB", | |
| "minimum_RAM": 320, | |
| "RAM_unit": "GB", | |
| "good_at": "Fast text generation and reasoning at massive scale.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 48, | |
| "model": "Bonsai-27B-gguf", | |
| "company": "PrismML", | |
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| "images_of_company": "company-images/prismml.png", | |
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| "minimum_RAM": 8, | |
| "RAM_unit": "GB", | |
| "good_at": "Efficient compressed text generation and multi-step reasoning.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 49, | |
| "model": "SmolLM2-1.7B-Instruct", | |
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| "image_of_model": "ai-images/huggingface.png", | |
| "images_of_company": "company-images/huggingface.png", | |
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| "size_unit": "GB", | |
| "minimum_RAM": 4, | |
| "RAM_unit": "GB", | |
| "good_at": "Lightweight text generation and instruction following.", | |
| "type": "LLM" | |
| }, | |
| { | |
| "id": 50, | |
| "model": "SmolLM2-135M-Instruct", | |
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| "image_of_model": "ai-images/huggingface.png", | |
| "images_of_company": "company-images/huggingface.png", | |
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| "minimum_RAM": 1, | |
| "RAM_unit": "GB", | |
| "good_at": "Ultra-lightweight text generation for edge devices.", | |
| "type": "LLM" | |
| } | |
| ] |