Use SAM ViT Base for Free

SAM ViT Base is an AI model released April 2023 by facebook, a leading organization in large language model research. Meta's Segment Anything Model — click any point or draw a box, and SAM produces a precise pixel-level mask of that object. With 91M and a Not applicable (image segmentation) context window, SAM ViT Base is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.

SAM ViT Base uses a dense transformer architecture with 91M of parameters, all of which are active for every input token. Dense architectures provide predictable, consistent behavior across diverse task types — there are no "cold" experts to warm up, and quality is uniform across prompts. facebook's training pipeline combined large-scale pretraining on SA-1B: 11 million images with 1.1 billion masks with supervised fine-tuning and alignment techniques (RLHF or DPO), producing SAM ViT Base's characteristic balance of capability, helpfulness, and safety.

As of 2026-10-16, SAM ViT Base by facebook demonstrates measurable performance on standard AI evaluation benchmarks. On COCO mIoU — which measures model performance on specialized evaluation tasks — it achieves 74.8%. These scores place SAM ViT Base — at 91M of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

The primary strengths of SAM ViT Base are: Interactive segmentation: click or box to segment any object in any image; Zero-shot generalization — works on any image domain; Apache 2.0 — free commercial use; Fast interactive segmentation designed for real-time use. These make it particularly well-suited for Photo editing: object selection and background removal, Medical image annotation for clinical research, E-commerce product cutout automation, Scientific microscopy and pathology segmentation. Users working on complex, multi-step problems benefit most from SAM ViT Base's ability to maintain coherence across long inputs and produce structured, verifiable outputs.

Like all current AI systems, SAM ViT Base has limitations: ViT-Base less accurate than ViT-Large/Huge; Requires visual prompts — not end-to-end from text alone; Not for video — use SAM 2 for video. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. facebook continues to improve SAM ViT Base through ongoing research.

SAM ViT Base is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making SAM ViT Base accessible to students, researchers, developers, and early-stage teams globally.

As of 2026-10-16, SAM ViT Base by facebook demonstrates measurable performance on standard AI evaluation benchmarks. On COCO mIoU — which measures model performance on specialized evaluation tasks — it achieves 74.8%. These scores place SAM ViT Base — at 91M of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

ViT-Base encoder + lightweight mask decoder — Segment Anything Model

The training pipeline for SAM ViT Base involves multiple stages: large-scale pretraining on SA-1B: 11 million images with 1.1 billion masks to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. facebook's research team — based in United States — has optimized SAM ViT Base for the specific capability profile described above.

Inference efficiency: SAM ViT Base at 91M is designed to deliver quality outputs at practical serving speeds. Its Not applicable (image segmentation) context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.

Getting started with SAM ViT Base on LITHOVEX AI takes under two minutes. Follow these steps:

For best results with SAM ViT Base: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions.

facebook is a leading organization in AI research and large language model development. Their team has built expertise across natural language processing, model architecture design, and alignment research. facebook's models are used by researchers, developers, and enterprises worldwide. Their commitment to advancing AI capability while maintaining responsible deployment practices has made them a respected contributor to the global AI ecosystem. The organization continues to publish research and release models that push the boundaries of what AI systems can achieve.

Founded: 2004, headquartered in United States.

Visit the official facebook website →

SAM ViT Base by facebook competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.

Both SAM ViT Base and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.

SAM ViT Base is released under Apache 2.0, which means you can download and run it on your own hardware. Below are the quickest ways to get started.

SAM revolutionized image segmentation globally in April 2023. Its 'segment anything' capability enabled applications across every domain — from medical image analysis in hospitals worldwide to satellite imagery analysis for climate research to product photography automation for e-commerce.

SAM ViT Base by facebook has the following version history and notable updates:

For the complete changelog and latest release notes, visit the official facebook model page.