Long Context Model Hosting

llmarena.ai offers side-by-side LLM comparisons across major providers, showing specs like context window, output capacity, modality and routing options. Filters and role-based categories help developers, ML engineers, product managers and researchers select suitable models.

EmpirioLabs AI is a platform for hosting, deploying, and scaling open-source and proprietary AI models via API or web playground. It supports multimodal, long-context models with optimized endpoints, creative templates, and high-throughput rate limits for production workloads.

Pieces stores and organizes work‑related context—code, docs, chats—within familiar tools, creating OS‑level long‑term memory. It supports real‑time LLM context via local plugins, letting users keep data on‑device or sync to a chosen cloud, aiding continuity for teams.

FLUX Context is an AI image and video generation platform that integrates multiple models for tasks like text-to-image, inpainting, and text-to-video. It enables precise editing with features for object modification, style transfer, and OCR-based text editing, streamlining workflows for professional

DeepSeek Free provides browser access to 671-billion‑parameter DeepSeek-R1/V3 models for conversational Q&A, code assistance, math solving, and document/image-aware NLP; supports direct use without login, workflow integration, customization, and encrypted data handling.

Genspark unifies inbox, workflows, and collaboration into one AI workspace, offering a 1‑million‑token context window, voice‑to‑text, auto‑meeting notes, and Chrome extensions for instant summarization and task automation across WhatsApp, Slack, and Teams.

LM Studio runs open‑source large language models locally on Mac (M‑series), Windows, and Linux, enabling private, offline inference. It offers command‑line and headless deployment, server‑side API, SDKs, a model hub, and LM Link for remote model access.

LLM Arena enables users to compare multiple large language models side-by-side, analyzing features like accuracy and capabilities. It supports up to 10 models, facilitating informed decision-making for researchers and developers in selecting the right LLM for their needs.

VModel provides a unified REST API that lets developers deploy and run custom or community‑built models with a single line of code. It supports Node.js, Python, and cURL for image, text, and video tasks, automatically scaling for production workloads.

context.dev is a web-crawling API that recursively extracts full-site content, assets, and brand data into structured JSON for AI and LLM workflows. It automates scrapes, sitemap parsing, and NAICS/SIC tagging to power chatbots, knowledge bases, and branded content generation.

LLM Price Check aggregates LLM API models and provider details into sortable tables and a cost calculator, showing context windows, input/output cost metrics, and quality indicators to help developers and teams evaluate cost–performance tradeoffs.

Wafer AI is a serverless inference platform that lets you run open-source LLMs in production with OpenAI-compatible APIs. It offers dedicated endpoints with optimized performance, long-context support, and caching to reduce costs for coding, reasoning, and agent workloads.

Council Chat is a multi-model AI platform that lets users run debates across models, aggregate votes, and synthesize consensus answers. It also supports autonomous agent workflows, document analysis, creative generation, and client-ready output exports.

Langbase offers a serverless platform for building, deploying, and scaling AI agents. It unifies access to 600+ LLMs, provides built‑in memory, vector, and file storage, and supports durable multi‑step workflows with monitoring and custom actions.

Agents‑Flex is a lightweight Java framework that builds AI agents with Model Context Protocol support, reusable AI skills, Text2SQL, and integrated RAG, vector, prompt, and memory modules, enabling LLM and local Ollama deployment via HTTP, SSE, WebSocket.

Open‑source AI code‑review platform that plugs into GitHub, GitLab, Bitbucket, and Azure DevOps at the pull‑request level. Model‑agnostic, it runs custom rule sets, tracks technical debt, and delivers real‑time metrics without storing source code.

Kontext performs instruction-based AI image editing and generation, enabling context-aware, localized edits that preserve composition and character identity, supports multi-turn iterative workflows for visual consistency, and offers model variants with cloud processing and API integration.

Contxt provides 6‑minute AI‑generated podcast episodes on any topic, offering category browsing, personalized recommendations, and a bookmarkable library. It supports on‑device listening, AI‑driven discussion, and community feedback via Discord for continuous improvement.

Modal is a cloud‑native platform that lets developers run inference, training, batch jobs, sandboxes, and notebooks with sub‑second cold starts and instant autoscaling. It’s Python‑centric, offers elastic multi‑cloud GPU scaling, zero‑idle scaling, unified observability, and high‑throughput AI‑nativ

Falcon is an open‑source LLM family by the Technology Innovation Institute, spanning 0.09‑180 B parameters. It offers efficient Falcon‑H1 series, Arabic variants, multimodal Falcon‑3, and Falcon‑Mamba 7B, all under permissive licenses.

commandcode.ai is a developer-centric CLI tool for interacting with multiple large language models, managing sessions with sliding-window memory, and automating long-running AI workflows. It supports model switching, vision tasks, background shell operations, and persisted, resumeable sessions for r

Latitude offers end‑to‑end observability for LLM deployments, recording inputs, outputs, and context. It enables manual annotations, automated error grouping, continuous evaluation, and prompt optimization with GEPA. OTEL telemetry and SDK integrations support major model providers.

The Full Stack offers a complete AI lifecycle curriculum, covering prompt engineering, LLMOps, deep learning, GPU selection, model monitoring, ethics, and MLOps. It trains developers, product managers, and researchers to design, build, and deploy AI applications.

TextCortex centralizes AI agent creation, deployment, and governance with a visual builder that integrates Slack, Teams, and a browser extension. It offers a secure model hub, GDPR‑compliant data sovereignty, knowledge search, spreadsheet analysis, and auditable workflows to reduce manual effort.

LangWatch enables real‑time testing of LLM agents, offering simulation, prompt management, audit trails, and batch testing across models. It integrates with OpenTelemetry, LangChain, LangGraph, and supports self‑hosted, cloud, and role‑based access.

ModelsLab offers API‑based generative AI for image, video, audio, and language tasks, including editing, generation, and voice synthesis. It supports GPU server deployment, custom workflows, fine‑tuning, and LoRA adaptation for creators and developers.

HumanLayer is an open-source IDE and orchestration layer for AI coding agents, managing parallel Claude Code sessions, multiclaude workflows, worktrees and remote workers, with context-engineering tools, session replay, workflow templates and GitHub-integrated code-review automation.

llongterm is a memory-focused AI tool that enhances chatbots and virtual assistants by enabling contextual memory retention. It supports personalized interactions across various applications, including education and customer support, and is compatible with multiple programming languages.

FinetuneDB enables teams to fine‑tune custom large language models with proprietary data. It provides collaborative dataset editing, a prompt playground, human and AI feedback loops, performance metrics, OpenAI SDK integration, and secure, role‑based access.

LLMWare AI installs a lightweight client on PCs, providing instant access to 100+ AI models optimized for Intel and Qualcomm hardware. It supports RAG, auto‑tunes weights, runs locally without Wi‑Fi, and offers an admin console for monitoring, scaling, and audit logs.

Context is an AI office suite that boosts productivity by automating document generation, simplifying financial modeling with natural language, and enhancing data visualization. It integrates with over 100 platforms for streamlined workflows and insights.

Foundry Local runs AI models on-device using ONNX Runtime (CPU/GPU/NPU) to keep data local, offering an OpenAI-compatible API, Python/JS/C#/Rust SDKs, a model hub, and CLI tools for edge and enterprise deployments.

Cerebras provides a wafer-scale AI accelerator and software stack that enables single-node training of very large LLMs, high-throughput low-latency inference (GLM-4.6 at 1,000 TPS), PyTorch SDK, deployment options, and MLOps tooling.

Klu accelerates LLM app development by enabling collaborative prompt design, version control, and automated evaluation across multiple providers. It offers unified observability, cost and drift tracking, private infrastructure, continuous monitoring, and integration with 50+ tools for scalable AI de

ContextClue transforms CAD, PDF, ERP and planning files into queryable knowledge graphs, enabling semantic search and automated generation of SOPs, compliance reports, and digital‑twin data. Ideal for manufacturing, R&D, and maintenance teams to streamline specification access and part reuse.

Portkey is an LLMOps platform offering a unified API and model catalog with observability, guardrails, RBAC, audit logs, prompt management, caching, routing and PII redaction to simplify multi-model integration, governance, monitoring, and cost optimization.

Headlesshost is a secure headless CMS built for AI agents, offering native MCP support, structured schemas, role‑based delivery, full audit trails, and version control. It enables API‑driven content creation, AI drafting, and human review via dashboards.

TypingMind unifies ChatGPT, Gemini, Claude, and other LLMs in one interface, enabling parallel chats, project folders, tagging, search, and built‑in tools for documents, images, and code, plus features like agent building, prompt chaining, RAG, voice, canvas, and plugins.

Scenario is an AI infrastructure platform that lets studios train custom models on their own art libraries and batch‑generate consistent image, video, 3D, and audio assets using a visual node‑based editor, API integration, and enterprise‑grade data privacy.

gpt-oss playground provides open-weight demos of gpt-oss-120b and 20b for infrastructure testing, distributed and on-device inference, benchmarking, API integration, and reproducible research, with adjustable reasoning levels and visible-reasoning for diagnostics. Demo-only; validate outputs.

LTX.io is an AI video suite for generative creation, editing, and production, from ideation to final output. It offers local and cloud tools, an API for developers, and enterprise features for scalable, collaborative workflows.

Code Snippets AI indexes full codebases to deliver contextual insights, auto‑generated comments, and precise snippet recommendations. It tracks LLM usage, supports multi‑model chat, offers role‑based collaboration, and integrates with macOS and Windows via API.

Confident AI is an evaluation platform for assessing large language models, enabling benchmarking, unit testing, and A/B testing. It streamlines dataset management and monitoring, ensuring optimal performance and alignment with benchmarks for LLM applications.

Inception Labs' diffusion-based large language models (dLLMs) offer faster, more efficient, and cost-effective text generation than traditional autoregressive models. With built-in error correction, multimodal support, and structured output control, they excel in function calling and complex data ge

Img2Prompt is an AI tool that generates text prompts from images and provides a public API for image captioning and prompt-based image generation. It can run on personal hardware or cloud platforms.

Centrox AI provides custom language model and chatbot development, focusing on fine-tuning, data annotation, and deployment. It enhances operational efficiency in sectors like healthcare, retail, and real estate through AI-driven conversational solutions.

Render simplifies deployment and scaling of web apps, APIs, background workers, and static sites. It supports Docker, build‑packs, native runtimes, GitHub CI/CD, automatic scaling, zero‑downtime updates, SSL, custom domains, environment variables, and CDN‑backed database add‑ons.

VLLM is a high-throughput, memory-efficient inference engine for Large Language Models, enabling faster responses and effective memory management. It supports multi-node configurations for scalability and offers robust documentation for seamless integration into workflows.

LiteLLM is an open‑source gateway that unifies access to 100+ LLMs through a single OpenAI‑compatible API, enabling provider fallback, cost tracking, tag‑based budgeting, guardrails, observability, and on‑prem or cloud deployment with a lightweight SDK.

Trooper.AI provides private EU-hosted bare-metal GPU servers for model training, fine-tuning, and inference, with one-click AI environment templates, full root SSH and NVMe storage, tested CUDA on Ubuntu 22.04, scalable hardware and pause/upgrade controls.