Free AI Models — Page 9
Browse page 9 of 10 in the free AI model catalogue. Compare providers, context windows, and benchmarks.
Diffusion-based 26B parameter LLM enabling parallel token generation for real-time text apps
No description available yet.
No description available yet.
No description available yet.
No description available yet.
No description available yet.
No description available yet.
Vision language model adept at comprehending text and visual inputs to produce informative responses
Distilled BERT model that was finetuned on SST-2 for sentiment classification
Ling-3.0-tiny is an efficient 7.9B parameter MoE model from inclusionAI with only 1.3B active parameters per token. Built for responsive agents, reliable instruction following and multi turn conversation, with a 256K context window, native function calling, prompt caching and switchable Thinking and Instant modes.
Lucid Origin from Leonardo.AI is their most adaptable and prompt-responsive model to date. Whether you're generating images with sharp graphic design, stunning full-HD renders, or highly specific creative direction, it adheres closely to your prompts, renders text with accuracy, and supports a wide array of visual styles and aesthetics – from stylized concept art to crisp product mockups.
Phoenix 1.0 is a model by Leonardo.Ai that generates images with exceptional prompt adherence and coherent text.
LongCat-2.5-Preview is Meituan’s multimodal reasoning model for coding and agentic workflows, with a 1M-token context window and support for text and image inputs. It combines image understanding, visual question answering, and content summarization with code generation, code understanding, and automated programming, and supports tool calling and optional thinking for complex tasks.
No description available yet.
No description available yet.
Cutting-edge vision-Language model exceling in high-quality reasoning from images.
Llama Guard 3 is a Llama-3.1-8B pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM inputs (prompt classification) and in LLM responses (response classification). It acts as an LLM – it generates text in its output that indicates whether a given prompt or response is safe or unsafe, and if unsafe, it also lists the content categories violated.
No description available yet.
No description available yet.
Multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation
50 layers deep image classification CNN trained on more than 1M images from ImageNet
Our frontier-class multimodal reasoning model update of September 2025.
Our small multimodal reasoning model update of September 2025.
No description available yet.
Our latest moderation model with 128k context window and jailbreaking detection. Strong performance on complex multilingual data including long multi-turn conversations.
Our OCR service powering our Document AI stack that enables our users to extract interleaved text and images. OCR 4 is available as the newer model. OCR 3 remains available for existing integrations and production workloads.
Our latest OCR service powering our Document AI stack, with native paragraph-level bounding box extraction and structural block labels.
An efficient audio input model, pre-trained and optimized for transcription purposes only.
MeloTTS is a high-quality multi-lingual text-to-speech library by MyShell.ai.
Detect and track speaker identities across video frames.
Advanced transformer for multi-frame bird's-eye-view 3D perception in autonomous driving.
Removes unwanted noises from audio improving speech intelligibility.
Estimate 3D human body pose and skeleton from video input.
Generates physics-aware video world states for physical AI development using text prompts and multiple spatial control inputs derived from real-world data or simulation.
Generates images, videos and action predictions from text, visual inputs and spatial controls, with mandatory input screening and visual SynthID watermarking.
Vision language model that excels in understanding the physical world using structured reasoning on videos or images.
Open VLM for quantum computer calibration chart understanding across a range of qubit modalities.
NVIDIA-Ising-Calibration-1.5 is a dense multimodal vision-language model built on Gemma 4 31B. It analyzes quantum computing calibration experiment plots and generates structured technical text.














