Open Source Llm Picker

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

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.

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.

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.

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 Tutor is an open‑source AI tutoring platform using Llama 3.1 and Together AI. It creates custom lesson plans and explanations for users across education levels, supports many subjects, and offers real‑time dialogue with adaptive sequencing and instant feedback.

Leadspicker is an AI tool that automates lead generation and outreach on LinkedIn and email. It features customizable workflows, email deliverability checks, and AI-driven personalization to enhance efficiency for sales and marketing teams.

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.

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.

Acuration IQ transforms internal and open‑source data into market research, partner discovery, and proposal drafts using a context‑aware LLM. It delivers automated partner matching, data analysis, and instant PDF/Excel/Word/CSV/JSON reports, deployable locally or via LLMaaS.

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.

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.

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.

Pocketllm is an AI-powered personal document search engine that allows you to easily search and retrieve information from thousands of pages of PDFs and documents. It offers semantic search capability, fine-tuning search results and summarizing results.

An open-source LLM-based research assistant tool that enables users to converse with research papers.

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.

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.

The text-generation-webui is a Gradio-based web UI for Large Language Models, supporting various backends and multiple interface modes. It allows quick model switching, extension integration, and dynamic LoRA loading for custom training.

Prompto is an open‑source Angular PWA that lets users interact with multiple LLMs via LangChain.js, adjusting temperature for creativity. It supports chat, notebook, template, arena, and discussion modes, storing all settings and history locally for privacy.

Open Notebook is a self-hosted, open-source notebook for private LLM workflows, supporting over 16 AI providers. It enables multi-modal content management, vector search, and contextual chat with full data sovereignty for research and development teams.

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

Open‑Chat is a self‑hostable, decentralized chat platform that supports both proprietary and open‑source AI models. It provides a full chat API, runs LLMs on local GPUs, lowers latency, enhances privacy, and deploys easily on personal or cloud servers.

Web2llm converts web documents into structured Markdown files, extracting relevant content while omitting extraneous elements. Users can input multiple URLs, and the tool organizes individual files and provides summaries in a dedicated 'docs' folder.