Llm Models

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.

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.

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 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.

LM Studio is a local platform for running various large language models like Llama 2 and Mistral. It offers an offline environment, user-friendly interface, and supports multiple operating systems, enhancing privacy and allowing for simultaneous model execution.

LLMChat is an AI chat tool that offers a beta version experience with diverse AI models, personalized memory, custom assistant creation, and privacy-focused locally stored conversations. Explore features like plugin integration, tailored preferences, and prompt examples for various tasks.

LLMWizard offers access to multiple AI models like GPT-4o and DALL-E 3, enabling users to automate tasks across coding, legal work, and content creation. The platform supports real-time comparison of AI responses for diverse insights.

BenchLLM evaluates language‑model applications via API or CLI, running JSON/YAML test suites with automated, interactive, or custom strategies. It supports OpenAI, LangChain, and any API, detecting regressions, generating reports, and visualizing results for continuous QA.

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.

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

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.

LLMStack is an open‑source platform that lets developers build AI agents and workflows without coding, supports multiple model providers, imports data from web, PDFs, audio, cloud services, and offers a collaborative React UI with granular permissions.

LLM Pricing Comparison lets developers and businesses compare token costs, context lengths, and modalities for major large‑language models. An interactive calculator estimates application expenses based on input/output token volumes, helping teams budget AI workloads accurately.

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.

LLM Selector filters open‑source large language models by use case—chatbots, content, code, summarization, research—while presenting benchmarks, training data, architecture, and deployment details. The interface updates regularly to aid researchers, developers, and product managers in data‑driven mo

Awan LLM offers unlimited token generation with Meta Llama 3.1 8B and 70B models, no censorship or caps, supporting persistent AI assistance, autonomous agents, roleplay, data processing, and code completion, hosted on owned GPUs for continuous use.

LLMAPI is a unified OpenAI-compatible LLM gateway offering access to 100+ models across providers, centralized API key management, failover routing, performance and cost analytics, and team-oriented key controls to simplify integration and operations.

LLM Pulse tracks brand visibility and search presence across LLMs (ChatGPT, Perplexity, Google AI), offering prompt tracking and suggestions, citation analysis, visibility scoring and competitor benchmarking, sentiment and response inspection, plus API and reporting exports.

Llama is a local AI tool that enables users to create customizable and efficient language models without relying on cloud-based platforms, available for download on MacOS, Windows, and Linux.

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.

RunLLM is an AI platform that automates incident investigations by querying observability tools, correlating telemetry, and delivering root-cause analyses. It generates live runbooks and remediation recommendations to accelerate MTTR and create an auditable history of incidents.

Mistral AI offers developers a platform for building cutting-edge generative AI models with a focus on performance and customization. Their models excel in reasoning tasks and benchmarks, providing flexible deployment options across infrastructures.

llmule is a decentralized network that enables users to run AI models locally, ensuring data privacy. It offers a library of community-shared models, promoting flexibility and collaboration while eliminating reliance on cloud services.

LMQL is a Python‑based language that enables modular, constraint‑driven prompts for large language models. It supports nested queries, type‑enforced outputs, and runtime distribution checks while switching between backends such as llama.cpp, OpenAI, and Hugging Face.

MLflow is an open‑source AI engineering platform that tracks LLM and agent execution, monitors performance, cost, and safety, manages prompts, and supports experiment tracking, tuning, and deployment across multiple clouds or on‑premises.

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

exllama is a memory-efficient tool for executing Hugging Face transformers with the LLaMA models using quantized weights, enabling high-performance NLP tasks on modern GPUs while minimizing memory usage and supporting various hardware configurations.

mancer delivers unfiltered large‑language‑model inference on high‑end hardware. After signing up, users select a model and prompt immediately, with no output filtering or moderation. The platform supports multiple model tiers and provides Discord and email support.

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.

ComicLLM allows users to easily create and customize comics, offering diverse styles and formats for both storyboards and editorial cartoons. It supports multiple languages and provides options for custom art styles, enhancing creative possibilities.

LLM SEO Report generates detailed SEO analyses for brands by assessing visibility across major AI platforms. It provides actionable recommendations to optimize online presence and adapt to evolving search trends influenced by AI technologies.

Morphllmis a high-throughput AI code-editing platform that applies LLM-generated multi-file edits, automated diffs, and merges at 10,500+ tokens/sec via edit_file and MCP/OpenAI-compatible SDKs (TypeScript, Python) for editor, CI, and agent integration. It combines warp-grep/warpsearch semantic co

EvalsOne is an evaluation platform for developers and researchers to assess LLM prompts, RAG, and agents using rule‑based or LLM‑based methods, human judgment, and customizable evaluators. It supports multiple APIs and integrates with major AI frameworks.

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.

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.

LLMOps Space is a global community for LLM practitioners, offering curated content, discussion forums, event recordings, and resources on production deployment, fine‑tuning, observability, and search optimization, plus networking via Discord and newsletters.

Aleph Alpha offers specialized large language models built on EU infrastructure, trained on domain‑specific data for legal, administrative, industrial, and scientific use. It ensures data sovereignty, compliance, and real‑time workflow integration for secure AI in public, manufacturing, and defense

Upstage AI delivers enterprise LLMs and document-processing tools: low-latency and Japan-specific models, PDF/OCR parsing, structured information extraction, centralized search and Q&A with citations, REST/AWS/on‑prem deployment, and team collaboration for review.

OurToken.ai is a unified LLM API that allows developers to access models from OpenAI, Anthropic, Google, and others through a single integration point. It simplifies multi-provider deployment with smart prompt routing, centralized key management, and built-in usage tracking for cost optimization.

Micro LLM is a personal AI assistant that enhances productivity by managing tasks, scheduling appointments, and answering questions. It operates on devices like iPads and iPhones, offering offline functionality and an intuitive interface for seamless organization.

Ollm.com is a confidential AI gateway providing a single API to route across hundreds of LLM models and providers. It ensures enterprise security with zero data retention, confidential computing, and centralized key management for private, compliant AI workloads.

Unstract is an open‑source, no‑code platform that automates structured data extraction from unstructured documents using LLMs. It features reusable prompts, Human‑in‑the‑Loop verification, and dual‑LLM hallucination mitigation for secure, compliant use across finance, insurance, and healthcare.

llmdebate.ai is a live debate arena where multiple AI models face off on user-submitted questions, with community-verified analysis and adjudicated verdicts. It generates evidence-backed summaries and final verdicts to surface consensus, disputed claims, and reasoning paths across topics like econom

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.

Flatkey gives AI builders one API key for 200+ AI models with 50% lower token costs

OpenLIT is an open‑source observability platform for large‑language‑model applications, offering distributed tracing, real‑time monitoring, model evaluation, prompt versioning, fleet telemetry, and a zero‑code Kubernetes operator to integrate with major LLM providers and vector databases.

Duck.ai offers anonymous access to popular AI models. It ensures privacy by keeping conversations untracked and outside AI training data, with seamless model switching.

ZeroTrusted.ai's LLM Firewall safeguards sensitive data during large language model usage. It combines anonymity, security features like ZTPolicyServer, and accuracy optimization to maintain privacy and mitigate data exposure risks.

Llama.cpp is an open-source tool for efficient inference of large language models. Run open source LLM models locally everywhere.